Panagiotis D Bamidis

• PhD
• Professor, Director at Aristotle University of Thessaloniki

Objective Dissociating Primary Progressive Aphasia (PPA) from Mild Cognitive Impairment (MCI) is an important, yet challenging task. Given the need for low-cost and time-efficient classification, we used low-density electroencephalography (EEG) recordings to automatically classify PPA, MCI and healthy control (HC) individuals. To the best of our kn...

Pursuing cognitively stimulating activities, such as engaging with art, is crucial to a healthy lifestyle. The current work simulates visits to an art museum in a laboratory setting. Using eye tracking, we explored how linguistically guided visual search may increase attention, enjoyment and retention of information when viewing art. Two groups of...

BACKGROUND A significant number of individuals undergoing Coronary Computed Tomography Angiography (CCTA) for suspected Coronary Artery Disease (CAD) have non-obstructive or no CAD. There is a need for clinically proven models that can predict the pre-test probability (PTP) of stable CAD and help to identify low-risk individuals. Optimizing patient...

Our team has engineered a mobile and cost-efficient diagnostic tool that leverages Electrical Impedance Spectroscopy (EIS) technology to conduct differential assessment of the electrical impedance of skin tissue. Now in its third prototype iteration, the DermaSense apparatus performs non-invasive data collection from the epidermal layer, processing...

This study outlines a comprehensive approach to the kinematic and dynamic analysis of lower limb movement, with the express purpose of designing an efficient wearable rehabilitation assistant device for the lower body. The approach begins by conducting a kinematic analysis of the lower limbs, presenting the degrees of freedom and each joint’s range...

Neurological conditions such as stroke or spinal cord trauma often attenuate or disrupt nerve connections, leading to loss of muscle function, sensation, or responsiveness. The application of physical and occupational therapy rehabilitation protocols can help regain some of the lost functions and significantly improve a patient’s quality of life. T...

Robot-assisted therapy, particularly hand exoskeletons, has emerged as a promising approach to address hand function limitations caused by neurological diseases that can significantly impact mobility, balance, and posture, leading to physical, psychological, and societal challenges. Traditional rigid-body robots, while helpful, have limitations in...

This research aims at the creation of a tool that can recognize the state of the human skeletal muscle from surface Electromyography signals. The goal of this muscle state machine is for the use in functional rehabilitation of people suffering from Spinal cord injury and for stroke survivors who have lost mobility in their upper body limbs. The use...

Electromyography (EMG) is used in a wide range of research fields, such as physiotherapy, ergonomics, and neurorehabilitation. Normative EMG databases play a crucial and significant role in the efficient diagnosis and treatment of neuromuscular disorders. They can rapidly provide information that, although not necessarily diagnostic, can efficientl...

The move to student-centered medical curriculum places greater emphasis on active learning and the development of clinical reasoning skills. Virtual Patients, defined as computer-based programs that simulate real-life clinical scenarios, have become increasingly popular as an enhancement to medical training. This study explores the usability and ef...

Prior studies have argued that the value that living labs are providing is blurry. Grounded on the living lab experts’ opinions, the study defines the key value proposition elements for living Labs. An online workshop was arranged in which 22 experts provided a total of 208 value proposition suggestions for the researcher, policy maker and public a...

Smart Contracts are pieces of software that are deployed in Blockchain infrastructures to enable the interaction (and production of value) between unknown parties, without intermediaries, but in a trustworthy and transparent manner. A key to Smart Contracts' success is their delivery to excellent standards of quality (e.g., security, documentation,...

The impact of digital environments on academic performance, particularly among students with ADHD, has become a significant area of study, especially in the wake of increased online learning during the pandemic. This study evaluates how ADHD symptoms affect text comprehension -including accuracy, retention of quantitative and qualitative data, and...

Trait mental fatigue (MF) and cognitive dysfunction significantly impair the quality of life in people with multiple sclerosis (PwMS), particularly impacting information processing speed (IPS) and verbal learning-memory (VL/M). We assessed 66 PwMS and 38 healthy controls (HC) via the oral form of the Symbol Digit Modalities Test (SDMT-Of) for IPS,...

Background Multiple sclerosis (MS) is a chronic autoimmune disease characterised by central nervous system inflammation, demyelination, and neurodegeneration, making it a leading cause of neurological disability in young and middle-aged adults. Symptoms vary widely, including motor dysfunction, fatigue, psychological issues, and cognitive decline,...

Background The successful integration of artificial intelligence (AI) in healthcare depends on the global perspectives of all stakeholders. This study aims to answer the research question: What are the attitudes of medical, dental, and veterinary students towards AI in education and practice, and what are the regional differences in these perceptio...

Refugees experience poorer health outcomes especially which can be exacerbated by or can be a result of low health literacy of refugee populations. To address poor health outcomes, health literacy, and health usage in refugee populations, it is essential to develop health educational interventions for refugees’ healthcare integration. To do so, lea...

The overwhelming volume of patients in emergency departments (EDs) is a significant problem that hinders the delivery of high quality healthcare. Despite their great value, triage protocols are challenging to put into practice. This paper examines the utility of prediction models as a tool for clinical decision support, with a focus on medium-sever...

With the rise in global life expectancy, ensuring healthier aging experiences for the older population becomes paramount. This scoping review delves into the technologies employed in the remote health monitoring of the elderly over the past 15 years. Exploring the concept of “Healthy Ageing” as proposed by the World Health Organization, this paper...

Open innovation is increasingly important in today’s world as it leverages AQ1 on access to diverse knowledge and expertise, enhanced problem-solving, creativity andmarket-driven innovation. Living Labs are open innovation ecosystems that have demonstrated potential towards supporting innovation through real-life interventions and multi-method appr...

Hippocampus protection, as an organ at risk in brain radiotherapy, might protect patients' quality of life. Prophylactic cranial irradiation (PCI) has been used traditionally in small cell lung cancer (SCLC) patients as it increases survival. This study aimed to discover the contributing parameters for a successful PCI with simultaneous protection...

Introduction Facial emotion recognition abilities of children have been the focus of attention across various fields, with implications for communication, social interaction, and human behavior. In response to the COVID-19 pandemic, wearing a face mask in public became mandatory in many countries, hindering social information perception and emotion...

Medical education escape rooms are emerging as a viable technological resource for pedagogy-first, learner-centric educational activities. This work presents the evaluation results of the first flipped classroom implementation in medical education, thus utilizing a mobile-driven augmented reality (AR) escape room. A total of 21 first-year medical s...

Patients with movement disorders such as Parkinson’s disease (PD) living in remote and underserved areas often have limited access to specialized healthcare, while the feasibility and reliability of the video-based examination remains unclear. The aim of this narrative review is to examine which parts of remote neurological assessment are feasible...

Currently, Living Labs are evaluated in multiple different ways which is hampering comparison. This paper proposes a harmonized method combining various elements (6 chapters, 15 criteria and 34 KPIs), mainly based on the standardized evaluation framework developed by Vervoort et al. (2022) for evaluating the diverse types of Living Labs. Such a har...

Intending to enable a broader collaboration with the scientific community while maintaining privacy of the data stored and generated in Living Labs, this paper presents the Shareable Data Publishing and Access Service for Living Labs, implemented within the framework of the H2020 VITALISE project. Building upon previous work, significant enhancemen...

Background One of health inequalities’ major cause is bad accessibility to healthcare services. We focus on nuclear medicine (NM) examinations, which take place via SPECT and PET scanners, both using radiopharmaceuticals which can prove to be expensive and weather dependent to deliver in island regions. Their production requires expensive to instal...

Virtual reality has long existed, but its wider adoption in education is recent. Studies informed by theoretical underpinned co-creation frameworks and utilization of theoretical informed evaluations are scarce in literature. Thus, this study internationally evaluated the efficacy of three virtual reality reusable e-resources (VRReRs), co-created b...

Introduction The expansive curricular volume of healthcare education makes a necessity the incorporation of innovative methods and immersive media in it. The core challenge in such approaches is the timely development of relevant immersive content such as Virtual, Augmented or Mixed Reality (VR/AR/MR) resources for healthcare topics. There is curre...

In this guide we provide instructions and recommendations about creating and running escape rooms for healthcare education. In recent years there has been a growing interest in adopting escape rooms as an educational tool to be included in healthcare curricula, and we attempt to explain why and how these tools are fit for the particularities of thi...

To ensure optimal clinical learning environments for students in the medical and allied health professions, it is essential to establish robust quality processes. Within the HEALINT4ALL ERASMUS + project an evidence-based protocol to assess the quality of placements for Medicine and Allied Health Professions (AHPs) in clinical environments created....

Background Synthetic data is an emerging approach for addressing legal and regulatory concerns in biomedical research that deals with personal and clinical data, whether as a single tool or through its combination with other privacy enhancing technologies. Generating uncompromised synthetic data could significantly benefit external researchers perf...

Background Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia and is a leading cause of mortality and morbidity. Patient knowledge about AF and its management is paramount but often limited. Patients need to be appropriately informed about treatment options, medicinal adherence, and potential consequences of nonadherence, whil...

A physician's role is critical in fostering patient health literacy (HL) and influencing various aspects, including patient-physician communication and treatment effectiveness. The purpose of this systematic literature review is to analyze physicians' perspectives, comprehension, and management of HL. The focus of this review is on physicians' view...

Stress is a significant factor that affects well-being and health. Factors that trigger stress include work, social interactions, and economic and environmental factors. Stress may cause lower labor productivity, physical and mental health problems, and malfunctions in all social aspects of life. Psychosomatic health can be improved if proper stres...

The literature defines transitional care as the coordination and continuity of care during the transition from one health care setting to another or to home. Referred to as transition of care, between health care professionals and settings, as their condition and care needs change during the course of a chronic illness, acute illness or acute admis...

Generalized spike wave discharges (GSWDs) are the typical electroencephalographic findings of Idiopathic Generalized Epilepsies (IGEs). These discharges are either interictal or ictal and recent evidence suggests differences in their pathogenesis. The aim of this study is to investigate, through functional connectivity analysis, the pre-interictal...

Citation: Peristeri, E.; Andreou, M.; Ketseridou, S.-N.; Machairas, I.; Papadopoulou, V.; Stravoravdi, A.S.; Bamidis, P.D.; Frantzidis, C.A. Abstract: Though previous studies with autistic individuals have provided behavioral evidence of animacy perception difficulties, the spatio-temporal dynamics of animacy processing in autism remain underexplor...

The development of smart wearable solutions for monitoring daily life health status is increasingly popular, with chest straps and wristbands being predominant. This study introduces a novel sensorized T-shirt design with textile electrodes connected via a knitting technique to a Movesense device. We aimed to investigate the impact of stationary an...

Objectives The development of a standardized technical framework for exchanging electronic health records is widely recognized as a challenging endeavor that necessitates appropriate technological, semantic, organizational, and legal interventions to support the continuity of health and care. In this context, this study delineates a pan-European ha...

Background Health literacy holds significant importance for medical professionals, as it is widely acknowledged as a key element in enhancing health promotion and overall well-being. The primary objective of this study is to explore Greek physicians’ comprehension of health literacy, the significance they attribute to it, their strategies for addre...

Primary progressive aphasia (PPA) is a rare neurodegenerative syndrome characterized by progressive deterioration of language abilities. Diagnosis is assisted with medical imaging methods such as MRI or PET and lexical and/or language metrics. Significant effort has been made by many authors to automate the process of differentiating between health...

Primary progressive aphasia (PPA) is a rare neurodegenerative disorder in which language impairments are the primary symptom. Diagnosis is very challenging and requires an expert physician and a combination of methods often involving expensive imaging modalities such as MRI or PET scans. Previous research has shown the importance of connected speec...

Patient involvement in research has been highlighted as a major requirement for the development of products and services that cover actual patients’ needs. However, there has not been an agreement on a commonly used standard for patient involvement in research, at least not in the EU, partially because of lack of common terminology and implementati...

Cortical sources of electroencephalographic rhythms are abnormal in patients with Multiple Sclerosis Abstract Category: Imaging and non-imaging biomarkers-31-Neurophysiology

This publication constitutes the Proceedings of the 10th Panhellenic Conference on Biomedical Technology, the flagship event organised by the Hellenic Society of Biomedical Technology (ELEVIT) between 6-8 October 2023 at the Thessaloniki Concert Hall, M2, along with the Aristotle Medical Forum 2023. The conference was held under the auspices of IFM...

Synthetic data is becoming the way forward to manage legal and regulatory aspects of biomedical research involving personal and clinical data. As no matches are expected between artificial instances and real samples and/or subjects, external researchers performing secondary analyses could benefit significantly by having unlimited access to uncompro...

Dementia is characterized by a decline in cognition and loss of functional abilities. It is becoming more and more prevalent which places a tremendous strain on the health and social care systems, in parallel the caregivers are under a lot of stress. Engaging in creative activities such as painting, drawing, dance, music, and drama can help reduce...

Clin App is a platform streamlining medical appointment management and patient data collection using a conversational agent. Focused on healthcare professionals and patients, it offers appointment automation, questionnaire creation, and medical data management. This work showcases ClinApp's microservices-based architecture and its user-centered des...

Functionality is a crucial aspect of aging that is vital to one’s health and well-being. Older adults often struggle with mobility issues, which increases their risk of injury from falls and other problems. Dancing has the potential to be a physically stimulating activity that may be tailored to older individuals’ ages, physical conditions, and cul...

Introduction Children’s behavior is indicative of adaptation to early-age development. Adaptive difficulties linked to behavioral difficulties are frequent among school-aged children having a multi-level impact. Five key approaches have been used therapeutically while systematic behavior monitoring has been used to evaluate the efficacy of differen...

Background Treatment options for pain in osteoarthritis (OA) aim to reduce or help patients manage their pain efficiently. According to guidelines non-pharmacological therapies are the first treatment option and pharmacological therapies follow. But in many cases pharmacological options are the first choice and researchers are trying to find better...

Preterm birth (PTB) is defined as delivery occurring before 37 weeks of gestation. In this paper, Artificial Intelligence (AI)-based predictive models are adapted to accurately estimate the probability of PTB. In doing so, pregnant women' objective results and variables extracted from the screening procedure in combination with demographics, medica...

Appointment Scheduling (AS), typically serves as the basis for the majority of non-urgent healthcare services and is a fundamental healthcare-related procedure which, if done correctly and effectively, can lead to significant benefits for the healthcare facility. The main objective of this work is to present ClinApp, an intelligent system able to s...

ENTICE aimed to use co-creative methodologies in order to build a solid creation pipeline for medical experiential content. The project has developed and evaluated immersive learning resources and tools aiming to support well-defined learning objectives using tangible and intangible resources (AR/VR/MR, 3D printing) that are highly sought in the fi...

Digital Twins come to revolutionize the ongoing procedures of healthcare industry, with their ability to stimulate and predict patients' diagnosis and treatment. In this paper a K-means based brain tumor detection algorithm and its 3D modelling design, both derived from MRI scans, are presented towards to the creation of the digital twin.

One of the most well-known laws of software evolution suggests that code quality deteriorates over time. Following this law, recent empirical studies have brought evidence that Technical Debt (TD) Principal tends to increase (in absolute value) as the system grows, since more technical debt issues are added than resolved over time. To shed light in...

Objectives To navigate the field of digital cancer care and define and discuss key aspects and applications of big data analytics, artificial intelligence (AI), and data-driven interventions. Data Sources Peer-reviewed scientific publications and expert opinion. Conclusion The digital transformation of cancer care, enabled by big data analytics,...

Objectives: LifeChamps is an EU Horizon 2020 project that aims to create a digital platform to enable monitoring of health-related quality of life and frailty in patients with cancer over the age of 65. Our primary objective is to assess feasibility, usability, acceptability, fidelity, adherence, and safety parameters when implementing LifeChamps...

Introduction: Mining of electronic health record (EHRs) data is increasingly being implemented all over the world but mainly focuses on structured data. The capabilities of artificial intelligence (AI) could reverse the underusage of unstructured EHR data and enhance the quality of medical research and clinical care. This study aims to develop an...

Obstructive coronary artery disease (CAD) is characterized as significant upon detection of stenosis of coronary artery diameter. In this paper, we adapt Artificial Intelligence (AI)-based predictive models to accurately estimate the pretest likelihood of obstructive CAD on coronary computed tomography angiography (CCTA) in patients with suspected...

Background: This article presents the system architecture and validation of the NeuroSuitUp body–machine interface (BMI). The platform consists of wearable robotics jacket and gloves in combination with a serious game application for self-paced neurorehabilitation in spinal cord injury and chronic stroke. Methods: The wearable robotics implement a...