Delivery of Health Care - Science topic

I am seeking collaborative partners for a research study focusing on integrating AI-powered HR systems in two critical sectors: Education and Healthcare. This study will explore the strategic impacts, ethical considerations, and human readiness for AI adoption within these fields.

The study aims to:

Who should collaborate? I am looking for researchers and academics with expertise in:

If you are interested in collaborating on this interdisciplinary research project or if you would like more details, feel free to message me directly. Let's explore the opportunities and challenges that AI integration presents to HR systems in these vital sectors!

Looking forward to hearing from potential collaborators!

Currently gathering data on the following question on Telehealth .

1. Is Telehealth Secure ?

2. Can Telehealth reduce Time on physical consultation?

3.What are the basic Problem Telehealth Solve?

4. Can Telehealth Provide quality health care solutions?

5. How can Telehealth be improved if in Used ?

These are few question i want a discussion on. How can we solve Problem using the Approach and providing seamless healthcare solutions .

Please i need your suggestion

Which programming code would you use to design a program to actively search for nosocomial infections in a healthcare institution's electronic records system? Do you know of any examples of institutions that already perform this screening?

In my master's degree, I am working on a line of research, which will include the development of a HUB of healthcare solutions, based on the use of AI and Blockchain.

I am developing the skills to implement these technologies with a focus on health, and what would be the best path forward, so that scalability is fluid throughout the entire development process.

Myself and colleagues have conducted 3 focus groups of international professionals to review a new assessment tool in healthcare. One of us made detailed notes throughout the focus groups and then the recordings were listened afterwards and further notes were made.

These notes were then used to inform the next phase of review of the tool and we made many changes based on the focus groups feedback. Once completed, the tool was then sent back to the participants for member checking/review.

Originally we were going to summarise our changes to the tool and use quotes from the focus groups to support the changed areas or additions to the assessment tool.

The question is, should we also analyse the focus group transcripts for qualitative themes? Or is what we have done sufficient?

- In which situations do employees of healthcare facilities find the coaching style of managers particularly beneficial, resulting in a positive influence on their commitment?

- Research elements of the coaching style

This discussion is a follow up of our paper at

We aim to drive effective policy change through the following objectives:

Aim 1:

Aim 2:

Aim 3:

This question seeks to analyze the impact of health policies on the quality of interventions in an essentially social profession.

Do the doctors can use the AI In healthcar? How can they do that?

The issue of specialized vs. interchangeable Operating Rooms (OR) caused a controversy in the literature on healthcare improvement. Specifically, if surgical cases include both scheduled (elective) and unscheduled emergency surgeries starting at random times, is it more efficient to reserve specialized operating rooms (OR) dedicated separately for scheduled and emergency surgeries, or is it better to perform both types of surgeries in any available OR using interchangeable OR arrangement?

The attached short document addresses this issue.

Hi,

I have been worked with Healthcare customers for several years and have experience over the typical data protection and privacy challenges.

Combining IAM with AI / ML models, we can create robust health security system. Please check this research and let me know your thoughts...

I'm and undergraduate student in Purdue Global and a Healthcare Specialist in the military. I would like display my work here on this platform but I'm not sure if doing so would be discouraged, especially if this is secondary research and not original work. Some academic advice from the fine scholars on this platform would be greatly appreciated.

To what extent does the ageing of the population, especially in developed countries, lead to problems such as the burden on pension and health systems, labour shortages and changes in the social structure? How can this process, which is detrimental to the national economy, be slowed down? What are the solutions to increase the birth rate in society? Is financial support for large families a good solution to increase the birth rate as a social policy instrument?

The ageing of the population, especially in developed countries, is a demographic process that brings with it a number of challenges. Longer life expectancy and low birth rates lead to changes in the age structure of the population, with older people accounting for an increasing proportion. This phenomenon has far-reaching consequences, affecting the pension and healthcare systems as well as the labour market and social structure. The strain on pension and healthcare systems is due to the fact that a decreasing number of people of working age must finance benefits for a growing number of pensioners and people in need of care. This, in turn, puts pressure on the state budget and may lead to higher contributions, lower pensions or restricted access to medical services. The shortage of labour is another problem associated with an ageing population. Many sectors of the economy may experience a shortage of skilled workers, which will affect their competitiveness and ability to grow. Changes in the social structure are a natural consequence of the ageing process. The increasing proportion of older people affects intergenerational relationships, the consumer market and the demand for certain services. In order to meet the challenges of an ageing society, it is necessary to implement comprehensive solutions, such as reforming pension and healthcare systems, promoting active ageing, encouraging immigration and supporting families with children. In the country where I work, the Family 500 Plus programme was introduced a few years ago, now 800 Plus as a government programme of financial support from the state public finance system, a social programme that was supposed to contribute to an increase in fertility. However, after several years of the programme's operation, fertility has not increased. Only the scale of poverty in large families has decreased. Research plays an important role in solving the problem of an ageing society by providing the knowledge and analysis necessary to develop effective strategies.

I am researching this issue. I have described the research results in the following articles:

And what is your opinion on this matter?

What is your opinion on this issue?

Please reply,

I invite everyone to the discussion,

Thank you very much,

Best wishes,

I invite you to scientific cooperation,

Dariusz Prokopowicz

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare has revolutionized patient care, diagnosis, and treatment. The emergence of smart e-healthcare systems leverages AI and ML algorithms to enhance medical decision-making, automate administrative tasks, and provide real-time monitoring and predictive analytics. This discussion highlights key advancements, challenges, and future directions in AI-driven smart healthcare systems.

For more information regarding healthcare improvement with Machine Learning, follow the post below

I am planning to evaluate the outcomes of an intervention by extracting data from healthcare facility logbooks.

Data will be collected for 3 months pre-intervention and 3 months post-intervention to capture any changes over time.

I intend to include all cases during this period, but the number is likely to be quite large. Is that okay, and how should I determine the appropriate sample size and statistical power for this type of study?

Hi!

I'm interested in understanding the differences between BCBA (Board Certified Behavior Analyst) and QABA (Qualified Applied Behavior Analyst) certifications, specifically in the context of India.

Could anyone please clarify the following:

1. Eligibility criteria and educational requirements for BCBA and QABA certifications in India?

2. Scope of practice and job roles associated with BCBA and QABA certifications?

3. Differences in certification requirements, training, and examination processes?

4. Recognition and acceptance of BCBA and QABA certifications by Indian organizations, schools, and healthcare institutions?

Additionally, could you please guide me on:

1. How to find training centers in India that offer BCBA and QABA certification programs?

2. What are the key factors to consider when selecting a training center for BCBA or QABA certification in India?

Thank you.

Throughout history, physicians have played a pivotal role in gathering and analyzing information about human health and disease. From the earliest written records to the present day, meticulous documentation of clinical cases has been instrumental in advancing medical knowledge and improving healthcare.

Physicians, like true Sherlocks, have maintained the tradition of sharing clinical observations in letters to colleagues, books, and medical journals, a practice that has greatly contributed to humanity's clinical-pathological knowledge. Even in the modern era, where diagnostic methods and tools are more sophisticated, individual case reports or case series remain invaluable, especially when dealing with rare or little-known diseases.

However, it is concerning that politicization and extremist polarization are increasingly affecting science, including medicine. The Havana Syndrome is a clear example of how political debates and ideological agendas can influence the perception and study of public health phenomena.

In an environment where objectivity and impartiality are fundamental for scientific advancement, it is crucial that healthcare professionals remain true to ethical principles and seek the truth without being influenced by political or ideological considerations. This involves being alert to potential biases and working to maintain integrity and objectivity in research and clinical practice.

Despite the challenges science faces due to politicization and polarization, it is important to remember that medicine remains a discipline dedicated to understanding, preserving, and improving human health. Physicians and other healthcare professionals have the responsibility to continue this noble mission, committing to uphold high standards of ethics and scientific rigor in their daily work.

Havana Syndrome refers to a set of medical signs and symptoms used to describe a series of unexplained health incidents reported by U.S. and Canadian diplomats and other personnel stationed in Havana, Cuba, starting in late 2016.

The synonymy used has been varied and includes: “Unexplained Health Incidents (UHI)”; “Anomalous Health Incidents (AHI)”; “Directed Energy Syndrome” and “Persistent Postural-Perceptual Dizziness (PPPD)”.

While the exact cause of these incidents remains unknown, there are several reasons why Havana Syndrome may indeed exist:

Consistency of Symptoms: Multiple individuals have reported a consistent set of similar symptoms across different locations and times, suggesting a pattern of illness rather than isolated incidents. This consistency strengthens the argument and lends credibility for the existence of a distinct syndrome.

Documented Medical Evaluations: Many of the affected individuals have undergone medical extensive evaluations that have confirmed the presence of health issues, including neurological impairments due to physical changes in the brain, such as changes in white matter tracts that are involved in processing sensory information. These evaluations provide empirical evidence supporting the reality of the syndrome.

Corroboration by Medical Experts: Medical experts, including neurologists and other specialists, have independently examined the cases and affirmed the validity of the reported symptoms and have generally agreed that the symptoms and clinical findings are real and cannot be easily explained by other known medical conditions. Their expertise lends credibility to the existence of Havana Syndrome as a genuine medical condition.

Biological Plausibility: While the precise mechanism behind Havana Syndrome remains unclear, there are plausible biological explanations, including exposure to toxins or directed energy sources. Research into the effects of directed microwave energy, for example, suggests that it could potentially cause reported symptoms. This theory is considered biologically plausible, as exposure to microwave energy can cause the type of symptoms reported.

In summary, Havana Syndrome exists as a recognized phenomenon characterized by a pattern of unexplained health incidents affecting diplomatic personnel and others. While the precise cause remains unknown, the consistency of reported symptoms, documented medical evaluations, corroboration by experts, government investigations, biological plausibility, international recognition, and ongoing research all contribute to the validity of its existence.

Despite my initial skepticism regarding the so-called "Havana Syndrome," not due to the atrocities that totalitarian regimes such as those in Cuba, Russia, or China can commit, but due to the objective technical difficulty of grouping everything into a nosological entity, I believe it is important to recognize the need for thorough investigation of this phenomenon. The reports of symptoms experienced by those affected are consistent and concerning, and they warrant our attention and study.

As professionals in related fields, we have the responsibility to approach these cases with an open mind and a rigorous scientific focus. Although the name "Havana Syndrome" may be a subject of debate, it provides a starting point for our research and allows us to refer to this set of symptoms in a coherent manner.

Ransomware attacks are a growing threat to healthcare organizations, jeopardizing patient data and operational continuity. I am looking for insights into the most effective strategies and technologies currently used to prevent these attacks. Please share any research, case studies, or best practices you recommend."

Sustainable healthcare: a priority for the future of health provision as recognised by the WHO in 2015 the biggest challenge to health of hte 21st century. We are now a quarter of the way through the 21st century and 10 years on from this public recognition. What are we doing about creating professionals ready for the future?

Hi everyone, I’m a final-year Software Engineering student working on a project focused on Machine Learning (ML) and Artificial Intelligence (AI). I want to solve a real-world problem through my project but need some guidance on how to get started effectively.

My main question is:

Could you suggest:

Thank you for taking the time to read this! I’m looking forward to hearing your insights. 😊

I do a 2-dimensional electrophoresis for a human tissue. My steps were as follows:

This question is to discuss about the practical applications of AR in healthcare, as well as the challenges and future possibilities, encouraging a comprehensive and insightful conversation.

This study examined the effectiveness of telemedicine in improving patient health outcomes in rural areas.By analyzing patient data and administering a questionnaire, we assessed the accessibility of telemedicine services and quality of care.Results showed that telemedicine significantly improved patient access to care, reduced travel time, and enhanced patient satisfaction.Many patients reported improvements in their chronic disease management.These findings underscore the potential of telemedicine to enhance healthcare delivery in rural areas, but challenges such as technology access and training still need to be addressed to maximize its benefits.

How can AI/ML models be designed to prioritize ethical decision-making while ensuring robustness in real-world applications, particularly in high-stakes domains like healthcare, law or governance?

What is the role of silver nanoparticles and quantum materials in predictive analytics for healthcare and solar cells?

Are you working on groundbreaking research in the medical or healthcare fields and looking for a reputable journal to publish your work? Medical Innovation is a peer-reviewed, open-access journal based in Canada, dedicated to advancing cutting-edge research across clinical practice, public health, biomedical sciences, and more.

We invite original research, review articles, case reports, and other submissions.

Have any questions about the submission process or how Medical Innovation could be the right platform for your research? Feel free to reach out, and let's discuss!

We're excited to announce an upcoming book that delves into the critical prognosis of neuro ambience and mental health practices. This comprehensive work will be published by Springer, offering valuable insights for researchers, professionals, and graduate students in neurology, computational neuroscience, and AI/ML in healthcare.

🔬 Key Topics:

📝 We invite chapter submissions on these and related topics. This is your chance to contribute to a groundbreaking resource in the field!

💡 Ideal for: Researchers, healthcare professionals, and graduate students in neurology, computational neuroscience, bioinformatics, and AI/ML in healthcare.

🌟 Your work could shape the future of neurological diagnostics and mental health practices!

Interested? Comment below or DM for more details on submission guidelines and deadlines.

#Neuroscience #AIinHealthcare #CallForChapters #MentalHealth #ComputationalNeuroscience #DeepLearning #Springer #AcademicPublishing #NeurologicalResearch #HealthTech

Machine learning (ML) is increasingly utilized in healthcare for predictive analytics, personalized medicine, and improving diagnostic accuracy. ML algorithms can identify patterns in large datasets that may not be apparent through traditional statistical methods.

I wonder what specific technologies or approaches could be used and how they could effectively analyze data and design solutions.

Hello everyone,

I am currently conducting research on the use of productive artificial intelligence in healthcare. My aim is to assess ethical awareness regarding AI applications in health services.

However, I am struggling to find a suitable ethical awareness scale for my study. If anyone has information about existing scales or related studies, I would greatly appreciate your insights and recommendations.

Thank you in advance for your help!

Best regards,

Explain to me the calculation of time driven activity based costing to reduce the cost of hospitalization of pediatric patients.

How should healthcare systems prioritize patient care when faced with limited health resources, and what ethical considerations arise from these decisions?

In the Rural communities, better and quality health service became the major problem in such areas. Both infrastructure and services are not quality or provided, which increases health and related issues. They mostly have less privilege for health service, education, and infrastructure. This results in the selling of medicines and also the doing of self-prescription from unqualified or untrained personalities in such communities because they find it difficult to access healthcare professionals or providers. Furthermore, healthcare services are expensive for them to be able to afford. Some even refuse to attend to hospitals or prescribed medication.

Describe a case in which a patient’s social determinants of health significantly impacted their treatment outcomes. How did you address these factors in the treatment plan, and what were the results? Include considerations such as socioeconomic status, access to healthcare, and cultural beliefs.

effective in measuring mental workload in healthcare settings?

Dear All,

*Call for Papers:*

The *Annual International Conference on Recent Trends in Healthcare Innovation*, often abbreviated as AICRTHI, stands as a pivotal event on the global healthcare calendar. This conference is organizing by *Department of Information Science & Engineering, Vidyavardhaka College of Engineering*, Mysuru, Karnataka, India.

We invite submissions of original research, case studies, and innovative ideas for presentation at the *AICRTHI-2024.* Selected papers presented at the conference will have the opportunity to be included in the conference proceedings of *CRC Press, Taylor & Francis Group (Scopus Indexed).*

The conference aims to cover a wide range of topics related to machine learning and computing systems, including but not limited to :

• Pharmaceutical Research and Drug Discovery

• Patient-centric care and Personalized Medicine

• Healthcare Analytics and Population Health Management

• Case Studies and Real-World Applications

• AI in Healthcare Operations and Management

• Support Systems (CDSS)

• Electronic Health Records (EHR) and Data Integration

• Natural Language Processing (NLP) in Healthcare

• Telemedicine and Remote Patient Monitoring

• Healthcare Robotics and Automation

*Important Dates:*

*Submission Deadline: 30th July 2024*

*Notification of Acceptance: 15th September 2024*

*Conference Dates: 24th and 25th October 2024*

*Submission Link*: https://cmt3.research.microsoft.com/AICRTHI2024

For inquiries or assistance regarding paper submissions, please contact

Dr. Prema N S, at premans@vvce.ac.in.

We look forward to receiving your submissions and welcoming you to *AICRTHI-2024!*

The increasing resistance of bacteria to antibiotics has made many infections difficult to treat, posing not only a threat to public health but also a major challenge to healthcare systems worldwide.

I'm part of a team developing a healthcare web application that includes features like scheduling appointments, storing medical reports, maintaining detailed medical history, and predicting potential diseases using advanced machine learning algorithms and natural language processing (NLP). We're using technologies such as Django, Node.js, React.js, OpenCV, Google Vision API, spaCy/NLTK, and BERT.

You can answer according to Your thoughts

This is an important step for isolation of hospital pathogens.

Hello I am researching this topic to obtain resources to write a paper at our facility to reinforce the need to have involvement with the local schools for a topic close to my heart nursing. Reaching out for resources and research others may have. Thank you, Barbara Jean

Call for Chapters:

Prof. Tahani Aldosemani, Prince Sattam bin Abdulaziz University, Saudi Arabia Prof. Miltiadis Lytras, The American College of Greece, Greece

Proposals Submission Deadline: July 11, 2024 Full Chapters Due: September 12, 2024 Submission Date: September 12, 2024

Submission link: https://www.igi-global.com/publish/call-for-papers/call-details/7707

In today's rapidly evolving world, the traditional paradigms of education face unprecedented challenges in adequately preparing individuals for the complexities of the future. The landscape of work and society is undergoing profound transformations driven by technological advancements, globalization, and socio-economic shifts, thereby necessitating a fresh perspective on the skills and competencies demanded by the workforce. It is within this dynamic context that the concept of "innovative educational frameworks for future skills and competencies" emerges as a pivotal area of exploration and development.

This book endeavors to delve into and showcase pioneering educational methodologies explicitly tailored to equip learners with the future skills and competencies indispensable for thriving in the 21st century and beyond. Recognizing that the mere transmission of information falls short, we advocate for an education system that fosters critical thinking, creativity, adaptability, collaboration, and above all, a lifelong learning mindset. These "future skills" are not only imperative for professional success but also for active citizenship and personal fulfillment amidst an increasingly intricate world.

Through an amalgamation of diverse perspectives and illuminative case studies, this book seeks to dissect how educators, policymakers, and stakeholders are reconceptualizing education to meet the future's demands. From immersive project-based learning and competency-driven education to innovative interdisciplinary approaches and the integration of cutting-edge technologies, each chapter will offer insights into promising strategies and frameworks poised to prepare learners for the challenges and opportunities of tomorrow.

Furthermore, this book underscores the significance of addressing equity, diversity, and inclusion within educational contexts. Ensuring universal access to high-quality education, irrespective of background or circumstance, is not only a moral imperative but also a cornerstone for nurturing a fairer and more prosperous society. Hence, contributors are encouraged to explore how innovative educational approaches can serve as catalysts for equity and empower learners from diverse backgrounds to excel in an ever-evolving world.

In essence, this book endeavors to be a timely and illuminating resource for educators, researchers, policymakers, and all stakeholders invested in the future of education. By scrutinizing innovative educational frameworks and their potential to cultivate future skills and competencies, our aspiration is to enrich the ongoing discourse and endeavors aimed at revolutionizing education for the betterment of individuals and society at large.

This book is dedicated to exploring innovative educational frameworks designed to equip learners with the future skills and competencies essential for success in a rapidly evolving world. With a specific focus on future-oriented skills such as critical thinking, creativity, problem-solving, adaptability, collaboration, and digital literacy, the book aims to accomplish the following:

Overall, this book seeks to serve as a comprehensive resource for educators, researchers, policymakers, and anyone interested in preparing learners for the challenges and opportunities of the future. By exploring innovative educational frameworks that prioritize the development of future skills and competencies, the book aims to contribute to the advancement of education and society in the 21st century and beyond.

This book is tailored to meet the needs and interests of a diverse range of stakeholders invested in the future of education. The primary target audience includes:

Overall, this book aims to appeal to a broad audience of stakeholders who are passionate about transforming education to better prepare learners for the challenges and opportunities of the future. Whether you are an educator seeking practical strategies, a policymaker shaping the future of education, a researcher contributing to the academic discourse, or a learner striving for personal and professional growth, this book offers valuable insights and resources to support your journey.

Researchers and practitioners are invited to submit on or before July 11, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by July 25, 2024 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by September 12, 2024, and all interested authors must consult the guidelines for manuscript submissions at IGI Global Submission Guidelines prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Innovative Educational Frameworks for Future Skills and Competencies. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit IGI Global. This publication is anticipated to be released in 2025.

Looking for Health care professionals interested in the mental health research study.

Looking for Health care professionals interested in the mental health research study. Empathetic AI Systems for Mental Health Support: Bridging the Human-AI Interaction Gap Greetings, We are currently seeking individuals to participate in an interview focusing on user experiences and empathy dimensions within AI mental health systems. The interview is expected to last approximately 60 minutes. We are specifically targeting participants who are 18 years old and above, including users of existing mental health support apps, healthcare professionals engaged in mental health care, as well as designers and developers working on healthcare and mental health apps or software. By including these diverse groups, we aim to gain comprehensive insights into the effectiveness, empathy, and design challenges of AI-driven mental health systems. As a token of appreciation for your time, each participant will receive a $10 (USD) Amazon gift card. Participation in this study is entirely voluntary, and all responses provided during the interview will be kept strictly confidential and anonymous. The results of this study will be thoroughly analyzed and subsequently published. This study has received the necessary approval from the King Khalid Research Ethics Committee, as indicated by the Ethical Clearance Certificate (ECM#2024-1109). If you meet the aforementioned criteria and are interested in contributing to our research, we cordially invite you to participate. WHO CAN I TALK TO? If you have any questions or concerns about the research, please feel free to contact Dr. Asma Aldrees (edrees@kku.edu.sa) , Dr. Karthik Meduri (karthik.meduri@ieee.org), Durga chavali (durga.chavali@ieee.org)

What are the benefits of working as a healthcare professiona?

CBT has emerged as a powerful tool for addressing mental health challenges worldwide. However, in many African countries, access to CBT networks and training remains limited. Moreover, there is a pressing need to ensure that CBT practices are culturally sensitive and contextually relevant to diverse African populations. In this context, Southern Health NHS Foundation Trust, together with EABCT and WCCBT is supporting the establishment of an African CBT Association (PAN).

This Network, mostly constituted by African colleagues is initiating a first study, named “KOLABO”, led by Dr Peter Phiri, PhD. This study aims to address the feasibility of establishing a Pan-African CBT Association. This association would serve as a platform for promoting the development of CBT knowledge and skills throughout the continent, while also fostering collaboration and inclusivity in CBT practices on a global scale. By participating in this study, you will have the opportunity to contribute to this important initiative.

The Pan is seeking input from the West, Global South, and Pan-African countries to include a diverse range of stakeholders. Your insights will help us better understand the needs, challenges, and opportunities related to CBT in Africa and inform the development of a Pan-African CBT Association.

Participating in this study is easy and confidential. It involves completing a brief online questionnaire lasting 10-15minutes.

If you are a healthcare practitioner trained in psychological interventions and modalities, lay health worker, volunteer and other delivering psychological therapies, please copy and paste this link into a browser: https://bit.ly/KOLABO_Pan-Africa

If you are a healthcare practitioners trained in psychological intervention and modalities, please copy and paste this link into a browser: https://bit.ly/KOLABO_WestandGlobalSouth

The PAN would be extremely grateful for your support in completing the study and sharing it with your global networks. Attached are the adverts above that can be distributed to your networks of healthcare professionals globally. The recruitment materials showcase the aim of the project as well as including a QR code to complete the survey. In addition, please do share the above survey links and QR codes with your networks and associations directly.

CMC-Computers, Materials & Continua new special issue“Emerging Trends and Applications of Deep Learning for Biomedical Signal and Image Processing”is open for submission now.

Submission Deadline: 31 March 2025

In this special issue, we delve into the cutting-edge advancements and transformative applications of deep learning techniques within the realms of biomedical engineering and healthcare. Deep learning, a subset of artificial intelligence, has emerged as a groundbreaking tool, offering unparalleled capabilities in interpreting complex biomedical signals and images. This issue brings together a collection of research articles, reviews, and case studies that highlight the innovative integration of deep learning methodologies for analyzing physiological signals (such as EEG, ECG, and EMG) and medical images (including MRI, CT scans, X-rays, and etc.).

The content spans a broad spectrum, from theoretical frameworks and algorithm development to practical applications and case studies, providing insights into the current state-of-the-art and future directions in this rapidly evolving field. Key themes include, but are not limited to, the development of novel deep learning models for disease diagnosis and prognosis, enhancement of image quality and interpretation, real-time monitoring and analysis of biomedical signals, and personalized healthcare solutions.

Contributors to this issue showcase the significant impact of deep learning on improving diagnostic accuracy, enabling early detection of abnormalities, and facilitating personalized treatment plans. Furthermore, discussions extend to ethical considerations, data privacy, and the challenges of implementing AI technologies in clinical settings, offering a comprehensive overview of the landscape of deep learning applications in biomedical signal and image processing.

Through a blend of technical depth and accessibility, this special issue aims to inform and inspire researchers, clinicians, and industry professionals about the potential of deep learning to revolutionize healthcare, paving the way for more innovative, efficient, and personalized medical care.

For submission guidelines and details, visit: https://www.techscience.com/.../special.../biomedical-signal

The protocol should indicate how the study will contribute to advancement of knowledge ,how the results will be utilized ,not only in the publications but also how they will likely affect the health care ,health systems and health policies.

In the context of machine learning models for healthcare that predominantly handle discrete data and require high interpretability and simplicity, which approach offers more advantages:

Rough Set Theory or Neutrosophic Logic?

I invite experts to share their insights or experiences regarding the effectiveness, challenges, and suitability of these methodologies in managing uncertainties within health applications.

Physician burnout can have far-reaching consequences that extend beyond individual well-being to affect patient care quality, healthcare costs, and the overall functioning of healthcare systems. Understanding and addressing burnout is essential for maintaining a resilient healthcare workforce and ensuring optimal patient outcomes.

A personal healthcare data visualization system should have features that allow for the collection, management, and visualization of your health history, with shared access between doctors and patients.

What specific evidence-based strategies, like workload management, mindfulness practices, and organizational support structures, have demonstrated the most significant efficacy in alleviating physician burnout and nurturing enduring well-being within healthcare settings?

This question is based on the article, "Diagnostic Microbiology from the Beginning to the Future: Regional Antibiograms as Public Health Tools to Slow Down Antibiotic Resistance." The article addresses the special characteristics of infectious diseases in medicine, including the ability to isolate and study the causing agents in conditions similar to those of humans in a laboratory, thereby enabling the identification of the most effective treatments. Through this question, researchers will be able to gain a deeper understanding of how diagnostic microbiology can be used in healthcare systems, specifically to improve patient care and combat antibiotic resistance.

Based on the study by Kavulavu et al. (2022), the researchers highlighted the challenges experienced by the Eldoret Regional Blood Transfusion Center (ERBTC) in Western Kenya. These difficulties included understaffing, constrained funding, inadequate equipment, irregular provision of reagents and other laboratory supplies, and the discarding of unsuitable blood donations. Such issues collectively contribute to a significant deficit in the supply of blood. Consequently, collaboration and intervention between various blood banks, healthcare institutions, and regulatory authorities are necessitated. How might collaboration between these three sectors enhance transfusion services? What policies could be implemented to optimize transfusion services? Additionally, could these policies prove applicable in other nations, such as the Philippines?

The discussion extends to identifying effective strategies that could be implemented to overcome these challenges, thus ensuring a reliable and sufficient blood supply for healthcare needs. This is crucial for improving patient outcomes and can significantly influence the efficiency of healthcare services globally.

The inquiry aims to understand and provide guidelines on the storage and management of specimens in the laboratory as it may influence the integrity of delicate samples, as discussed in the article of Rajeshwar Reddy Kasarla and Laxmi Pathak entitled "Tenets of Specimen Management in Diagnostic Microbiology." By scrutinizing specimen handling practices, including storage protocols and laboratory procedures, healthcare practitioners can identify avenues for enhancing the utilization of clinical microbiologist services to ensure accurate diagnostic results and enhance patient care and welfare.

Do traditional healers rely on their medicine if they are sick of they do go to clinic/hospitals

Analyzing the Role of AI Adoption in Healthcare and Its Implications for Patient Outcomes

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Water Quality Research Metals (SLAWQRM APP) Model Applications; (IaaS) (PaaS) (SaaS);

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Mothers of Children / NIH / National Library of Medicine / (IaaS) (SaaS) Digital Output; (D) (Qin) flow; impacting Model (IaaS) Community. (PaaS) Maternal Healthcare. (PaaS) Satellite.

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Impacting Midstream (SaaS) Digital Output; (D) (Qout) flow; to and in to YEWA River (SaaS)

Digital Output; (D) (Qout) flow; to OLOGE River (SaaS) Digital Output; (D) (Qout) flow; to OGUN River (SaaS) Digital Output; (D) (Qout) flow; to OSHUN River (SaaS) Digital Output; (D) (Qout) flow; to Midstream (IaaS)(PaaS) (SaaS)(Shared Networking);

📷 Aleia Hobbs World Fastest 400Meter Hurdle

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https://www.facebook.com/share/r/JkHMSeLVwdZFZVrS/?mibextid=oEMz7o

Https://www.ncbi.nlm.nih.gov.unicef.un/ Mortality and Primary Causes of Death in Mothers of

Children. / NIH / National Library of Medicine / impacting Model (IaaS) Community. (PaaS)

Maternal Healthcare. (PaaS) Satellite. (SaaS) Clinics. (CMHSC). (SaaS) (Shared Networking);

Some AI services are already working in healthcare. They evaluate thousands of radiologic studies every day. It seems clear that radiologists should review some images to monitor the quality of AI services work. Please share your thoughts on how to calculate the minimum sufficient number of images for revision?

Description: This question invites discussion on the transformative impact of Artificial Intelligence (AI) in healthcare, particularly focusing on diagnostics. It encourages researchers and professionals to share insights, developments, and challenges associated with integrating AI technologies into diagnostic processes. The goal is to explore the potential for AI to improve accuracy, efficiency, and accessibility in healthcare diagnostics, as well as to discuss ethical considerations and the need for regulatory frameworks.

Increasing AI interpretability is crucial for understanding how decisions are made, especially in high-stakes domains like healthcare and finance.

Can you provide articles on behaviors that inhibit team development in healthcare/

Thank you

Pauline

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How can generative AI contribute to solving real-world problems, such as healthcare diagnostics or climate modeling?

AI and ML in healthcare?

Introduction:

The advancements in artificial intelligence (AI) have the potential to revolutionize healthcare practices, including nursing care. As AI technologies continue to evolve, there is growing interest in integrating these tools into nursing education. This inquiry aims to explore the prospects of teaching nursing students about the utilization of AI tools in healthcare and when

In recent years, the healthcare industry has witnessed significant developments in AI applications, such as machine learning, natural language processing, and computer vision. These technologies have shown promise in improving patient care, facilitating accurate diagnoses, and enhancing treatment outcomes. Consequently, it becomes crucial to equip future nurses with the knowledge and skills to harness the potential of AI in their practice.

1. When will nursing education incorporate AI tools?

- What are the current efforts and initiatives to introduce AI in nursing curricula?

- Are there any institutions or programs already integrating AI tools into nursing education?

- What are the potential benefits and challenges associated with teaching AI in nursing?

2. Permissibility and Ethical Considerations:

- Are there any legal or regulatory barriers that prevent the integration of AI in nursing education?

- What ethical considerations should be addressed before incorporating AI tools in nursing practice?

- What are the potential risks and limitations of relying on AI technologies in healthcare?

3. Feasibility and Implementation:

- What resources and infrastructure are required to teach AI concepts in nursing programs?

- Are there any limitations in terms of faculty expertise and readiness for AI integration?

- How can nursing educators effectively incorporate AI tools into the existing nursing curriculum?

4. Future Implications:

- What impact might AI integration have on nursing practice and patient outcomes?

- How can AI tools enhance the efficiency and accuracy of healthcare delivery?

- What are the potential roles of nurses in leveraging AI technologies in various healthcare settings?

I know That its too long Question , but Iam sure NOT ONLY me interested..

Currently, I am working on a collective book project entitled "Healthcare Supply Chain: Challenges and Opportunities for Improving Healthcare" to be published with Springer as part of "the Integrated Science Series". This project is structured around 4 main parts: Part 1: Modeling & Optimization of the Hospital Supply Chain and Safety of Care Units Part 2: Integrated management of health products: Supply, storage and waste Part 3: Patient flow optimization and transport logistics for healthcare services. Part 4: Revolution of the hospital supply chain: Information systems, artificial intelligence, digital transition and innovative technologies

If you are interested in taking part in this project, please let me know.

🚀 Exciting Opportunity: Call for Abstracts for The American Journal of Healthcare Strategy's Inaugural Issue! 🚀 Greetings, Healthcare Innovators and Thought Leaders! We're thrilled to announce that The American Journal of Healthcare Strategy is now accepting abstracts for our inaugural issue, set to be published on January 31st. This is a unique opportunity to contribute to a groundbreaking publication that’s ready to redefine healthcare strategy. We have a team of Executive Editors, Consultants, and Executive Experts (with many new team members that we will soon be sharing with you). We are indexed on Google Scholar, ResearchGate, Library of Congress, and many more that are coming soon. Offering both digital and paperback distribution. 🔎 We're Seeking: Original research, reviews, case studies, and thought pieces in healthcare strategy. Innovative approaches, analytics-driven insights, and transformative healthcare solutions. 🎖 Why Submit? Be part of our landmark first issue. Share your work with a global audience of healthcare professionals and decision-makers. Elevate your professional profile in the healthcare community. ✍️ Submission Guidelines: Abstracts should be concise and clearly outline the study's objectives, methods, results, and conclusions. Please adhere to the word limit specified on our submission portal. Ensure your submission is original and unpublished elsewhere. 🔗 Submit your abstract at https://forms.gle/wrLoCgTu1VoDhox3A Join us in shaping the future of healthcare strategy. We can’t wait to witness the wealth of knowledge and innovation your abstracts will bring!

Dear Researchers,

We are seeking participants to collaborate on writing an article and report on the utilization of different artificial intelligence (AI) tools in healthcare care plan development, specifically focusing on patient information. The aim is to produce an in-depth publication on this topic for dissemination on ResearchGate.

This collaborative effort requires individuals who are knowledgeable and experienced in AI and healthcare care planning. We invite researchers, practitioners, and experts in the field to contribute their insights and expertise to this project.

The scope of the article and report includes the following:

1. Exploration of various AI tools utilized in healthcare care plan development.

2. Examination of how patient information is integrated with AI tools for enhanced care planning.

3. Evaluation of the effectiveness and outcomes associated with the use of AI in healthcare care plan development.

4. Identification of challenges and considerations in implementing AI tools in this domain.

5. Compilation of comprehensive recommendations for future research and implementation.

If you are interested in participating, kindly reach out to us at contact@msytr.com or even by replying this question. We will provide further details and guidelines to ensure a cohesive and impactful collaboration.

By joining this project, you will have the opportunity to contribute to the advancement of knowledge in the field of AI-driven healthcare care planning and be recognized as a co-author in the resulting article and report. Your valuable insights will help shape the understanding and future directions of AI applications in healthcare.

We look forward to collaborating with dedicated researchers like yourself. Should you have any questions or require additional information, please do not hesitate to contact us.

Thank you for considering this invitation, and we appreciate your willingness to contribute to this project.

Sincerely,

Ahmed Ragab Ali Abdelghany

Researcher in AI Medical Integration

Artificial intelligence augmented governance of healthcare and ethical issues need attention to ensure data protection

While traditional healing practices are prevalent across the African continent, there is a significant gap in scholarly research that comprehensively investigates the artistic and cultural dimensions within these practices. Existing studies often focus on medical efficacy or cultural aspects in isolation, neglecting the intricate interplay between artistic expressions and healing outcomes. This knowledge gap impedes our ability to appreciate the full spectrum of traditional healing, limiting insights into how cultural heritage and artistic traditions contribute to the effectiveness of these practices.

Understanding the artistic and cultural dimensions of traditional healing is particularly critical as these practices face various challenges, including globalization, modernization, and shifts in healthcare preferences. Documenting and comprehending these dimensions can not only aid in the preservation of cultural heritage but also inform policies that respect and integrate traditional healing within contemporary healthcare frameworks.

1. To explore the types of traditional healers and their activities in Ghana.

2. To examine role of artistic elements in traditional healing practices in Ghana.

3. To examine the role of artistic traditional healing practices in the preservation of Ghanaian cultural identity and heritage.

4. To suggest a framework that explains the role of artistic traditional healing practices in the preservation of Ghanaian cultural identity and heritage.

1. What are the types and scope of traditional healing activities in Ghana?

2. How significant are the artistic elements in the healing practices of Ghanaian traditional healers.

3. How are traditional healing practices contributing to the preservation of Ghanaian cultural identity and heritage?

4. What framework can be suggested to explain the role of artistic traditional healing practices in the preservation of Ghanaian cultural identity and heritage?