Constantinos Koutsojannis

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University of Patras | UP · Department of Medical Physics

This paper explores the overall picture regarding healthcare security systems through an extensive literature review. As the healthcare sector has now become digitalized, the security of healthcare systems and, by extension, the protection of patient data is a key concern in the modern era of technological advances. Therefore, a secure and inte-gra...

The pronounced association between Evoked Potentials (EPs) and American Spinal Injury Association (ASIA) scores in individuals with Spinal Cord Injury (SCI) indicates that EPs may serve as dependable predictive markers for the progression of rehabilitation. Numerous studies have confirmed that variations in somatosensory evoked potentials (SSEPs) d...

Machine learning has witnessed a notable increase in significance within the medical field, primarily due to the increasing availability of health-related data and the progressive enhancements in machine learning algorithms. It can be utilized to formulate predictive models that aid in disease diagnosis, anticipate disease progression, tailor treat...

This study explores the innovative field of digital twins within healthcare and public health, demonstrating their potential to revolutionize personalized medicine, drug discovery, and clinical decision-making. It highlights the transformative impact of digital twins across various health sectors, such as radiology, surgery, and disease management,...

Digital twins (DTs) are emerging as a transformative force within the realm of healthcare, heralding a new era characterized by personalized treatment modalities and enhanced therapeutic efficacy. This review delves into the profound advancements witnessed in DT applications, varying from customization of treatment plans for complex ailments like h...

Machine learning has gained popularity in medical fields due to the increasing availability of health data and the improvement of machine learning algorithms. It can be used to create predictive models that diagnose diseases, predict disease progression, tailor treatment to individual patient needs, and improve the functioning of medical systems. T...

Recent studies support the long-held belief that the lens of the eye is one of the human body's most radiosensitive tissues, especially in the ocular region. This study highlights the influence of non-ionizing electromagnetic radiation, which may cause cataracts or other visual illnesses. We exposed intact cultured lenses to microwave radiation for...

This research investigates the characteristics of people who use social media, focusing on how things like age, gender, job, education, and whether they're married or not affect their social media use. The researchers asked 114 people questions to get this information. Even though the group of people they asked was small, they still learned a lot a...

Healthcare has undoubtedly brought many advancements through information technology. Specifically, healthcare informatics involves the use of various technologies, data management, and communication systems to collect, store, analyze, and effectively disseminate information. Therefore, the above serves to improve care as well as patient outcomes, i...

The primary objective of this study is to examine the role of social media in relation to natural disasters, encompassing the periods preceding, during, and following such events. In the face of calamities, traditional communication channels tend to fail, leaving social media networks as the sole means of information exchange. Even when conventiona...

This article delves into how certain human tissues, as the eye's lens, are prone to damage from radiation. The article offers important perspectives on how radiation affects human tissues, emphasizing the necessity for correct radiation exposure guidelines. Notably, the eye's lens has shown a significant vulnerability to low-LET radiation through a...

Purpose The purpose of this research was the development and evaluation of an intelligent assistive classification system for the recognition of endometriosis and the improvement of the accuracy of laparoscopic imaging in diagnosis. The research was developed with the use of Deep Learning approaches. Methods Data from 4448 laparoscopy images were...

Spinal cord injury is a life-threatening condition resulting from spinal cord trauma, leading to paralysis, loss of sensation, bowel and bladder control. Accurate assessment tools are crucial for diagnosing and treating spinal cord injuries, and various scales have been developed for this purpose. Additionally, electrophysiological measures, includ...

The application of new techniques in eye imaging has revolutionized the process by increasing accuracy and efficiency levels considerably. An essential aspect of analyzing ocular images is the correct segmentation of retinal vessels. Deep learning algorithms represent an effective solution giving high accuracy rates for this task. In this article r...

Ocular medical imaging analysis has been transformed by the recent developments in Deep Learning and Machine Learning. These techniques have made it possible to uncover more detailed information about the eyes which ophthalmologists can utilize in their diagnoses. In this article we will discuss how artificial intelligence applications are helping...

Despite the high prevalence of low back pain(LBP)globally and the large range of health professionals engaged in its management,its sussessful clinical approach still remains elusive(Frymoyer et al., 1983). Rationale,aims,objective:The aim of the study was to highlight the role of history taking in assessing the nature of low back pain and its indi...

Background: In this article we present i-TRIAGE, an intelligent decision support system to triage patients in an emergency department. i-TRIAGE is an intelligent system, which created in line with the guidelines of an international used triage protocol, named Emergency Severity Index. Aim: The aim was to create a user-friendly application to ass...

Purpose: The aim of the present study was to identify differences between the two surgical techniques in terms of clinical and functional outcomes. Method: The measurements were performed using the Tensiomyography (TMG) S1 device, to 24 athletes (15 males, 9 females with mean age 32 years), divided in group A (12): knees with double graft (ST - GR...

Purpose: The digital transformation of modern healthcare makes digital skills even more essential for Medical Physicists (MPs). Digital solutions have the potential to radically transform health systems by providing better results and improving the quality of services. The digital skills gaps in the health sector affect the efficiency of health se...

The article outlines the need for professional services and abilities in the healthcare sector. The Erasmus+ DIGI4ME project intends to offer digital skills trainings for healthcare professionals. An investigation of the Romanian health information system was directed in the view of the National Public Health Institute of Romania interviews with st...

The article outlines the need for professional services and abilities in the healthcare sector. The Erasmus+ DIGI4ME project intends to offer digital skills trainings for healthcare professionals. An investigation of the Romanian health information system was directed in the view of the National Public Health Institute of Romania interviews with st...

In this paper, we present the application of a Machine Learning (ML) approach that generates predictions to support healthcare professionals to identify the outcome of patients through optimization of treatment strategies. Based on Decision Tree algorithms, our approach has been trained and tested by analyzing the severity and the outcomes of 346 C...

Introductory patient safety is a major issue of global health concern, affecting all countries regardless of their level of development. It is an important parameter of quality in health care, as millions of patients worldwide suffer, or die each year from in-hospital infections. The aim of the present study is to quantify the role of Artificial In...

In this paper, we present the application of a Machine Learning (ML) approach that generates predictions to support healthcare professionals to identify the outcome of patients through optimization of treatment strategies. Based on Decision Tree algorithms, our approach has been trained and tested by analyzing the severity and the outcomes of 346 C...

Design and analysis of an active ankle orthosis, which will help the gait cycle of people who have difficulties performing the lower limb’s dorsiflexion movement; this condition is called foot drop. Foot drop is a weakness or damage of the common peroneal nerve, including the sciatic nerve, or paralysis of the muscles in the anterior part of the lo...

The paper presents the demand for professional services and skills in the health sector. The Erasmus+ DIGI4ME project aims to enhance digital skills trainings. An analysis of the Romanian health information system was conducted based on the interviews of the National Public Health Institute of Romania with stakeholders. According to the incidents w...

The increasing demand for healthcare services, driven by the demographic shifts throughout Europe, will increase the number of jobs and the required skills of professionals in the health sector. Health sector will have a 23% increase in employment by 2025 and the skills that health professionals (HPs) possess are the key aspect for the delivery of...

Ascending aortic dissection is a lethal illness characterized mainly by a tear that develops in the aortic wall when the wall stress by the blood pressure exceeds the wall endurance limits. The estimation of the timing for a surgical treatment of a dilated ascending aorta is based, in practice, on the aortic size, and a recommended criterion for pr...

Purpose: Purpose of this study is the development and evaluation of an intelligent decision support system that will accurately predict the risk of rupture in incidentally detected intracranial aneurysms. Patients-Methods: 100 patients with intracranial aneurysms (both ruptured and unruptured) detected by computed tomography angiography (CTA) and...

The development and evaluation of an intelligent prediction system for the evaluation of predisposing and morphological factors in patients with or without endoleak into the abdominal aortic aneurysm sac, based on CTA images during preoperative mapping, developed Machine Learning approaches. They were used in a retrospective chart analysis, data fr...

The development and evaluation of an intelligent prediction system for the manifest or not of stroke, in patients with carotid disease, based on morphological factors derived from visual data, developed with Machine Learning approaches. Data from symptomatic and asymptomatic patients referred to our Hospital University Department of Radiology-Compu...

Manipulation of male sexual dysfunction (or impotence) that concerns 10% of the male population requires expertise and great experience. Different diagnostic approaches according to medical as well as psychosocial and cultural characteristics of patients are usually followed. Additionally, the traditional health care model of a resident doctor inte...

In this chapter, the special difficulties of data mining concerning healthcare or medical big data are discussed. Human health care data are the most difficult of all data to collect, deal and analyze. The first important issue is that the mathematical representation and understanding statistical approach in medical data are internally different th...

Here is presented the development and evaluation of an intelligent prediction system for the identification of parathyroid multi- or single adenomas disease or cancer, based on CT images during preoperative mapping, developed with Machine Learning approaches. There were used on a retrospective chart analysis, data from 119 histologically proven PHP...

Depression is the most common mental illness with which it confronts both the psychiatrists and specific health professionals. This disease adds a large impact on the psychological and economic condition of patients, their families, and the community. The detection of stages of depression is crucial not only for experts to choose efficient treatmen...

Studying the human brain has proven to be a difficult task, due to many aspects related to its nature. Its importance as an organ, its complexity in both anatomical and neurophysiological levels, as well as the difficulty presenting due to it being encased in an osseous cavity and of course ethical issues, are some of the most common and important...

Addiction to cigarette smoking has high prevalence rates recorded worldwide. Smoking has been linked to several life-threatening systemic conditions such as cancer, heart attack and stroke, in addition to a range of ocular pathologies. In recent years, electronic cigarettes (EC) have emerged as alternatives to smoking. ECs are nicotine delivery dev...

Heat has been used for therapeutic causes, over the past decades. A lot of heat methods have been discovered and have been used for medical and physical therapy treatments. As long as new methods and heat devices are discovered, physical therapists have to struggle between which device is the most effective. The purpose of this study is to compare...

The overall aim of this research is the prevention of environmental risk and impact, through the establishment of a present-day environmental observatory centre, equipped with an intelligent monitoring, management and evaluating system. Detecting the environmental pollutants in a timely manner (forecasting), potentially related to adverse health ef...

The development and evaluation of an intelligent prediction system for the identification of parathyroid multi- or single adenomas disease or cancer, based on CT images during preoperative mapping, developed with Machine Learning approaches. Data from 119 histologically proven PHPT patients referred to our Hospital University Department of Radiolog...

Chronic pressure ulcers are hard-to-heal wounds that decrease the patient's quality of life. Wireless Micro Current Stimulation (WMCS) is an innovative, non-invasive, similar to electrode-based electrostimulation (ES) technology that generates and transfers ions that are negatively charged to the injured tissue, using accessible air gasses as a tra...

Objectives: EEG biofeedback, is an educational method that helps a trainee to control brain activity and is related to calmness and anxiety, as wave frequency has been positively correlated with cognitive performance in all ages, both in healthy individuals and in those with neurological conditions. Conclusions: Intelligent brain-machine assisted...

Objective: This work aims to develop methods for handling redundancy in the process of modeling, simulation and analysis of musculoskeletal systems. Methods: It is an undeniable fact that musculoskeletal systems are inherently redundant, i.e., there are more degrees of freedom than those required to perform certain tasks and each degree of freedom...

Although rehabilitation practice for most patients consists of a combined use of thermotherapy that is produced from diathermy devices resulting faster and deeper heating to the patient, major concerns about occupational exposure to electromagnetic radiation for the operators must be considered. In most occasions, physiotherapists have involved mul...

Rehabilitation practice for many patients consisting of a combined use of magneto therapy resulting emission of low frequency magnetic fields to the patient, elicit concerns about occupational exposure to electromagnetic radiation (EMR) for the operators. The time extended use of the device periodically leads to mechanical failures or troubleshooti...

Background: According to previous studies, CT scan exhibits the highest sensitivity and specificity rates among the imaging methods for parathyroid glands. The purpose of this work is the development and evaluation of an intelligent decision support system for the appropriate surgical intervention of parathyroid gland based on the evaluation of CT...

Among other medical equipment, Short (SWDs) and Micro-wave diathermies (MWDs) are electromagnetic (EM) radiation emitting systems that are used by physiotherapists for thermotherapy treatment. Quality control (QC) procedures for MWD as well as SWD equipment, examining also EM radiation distribution in the working room, have already been developed f...

Our dependence on electromagnetic radiation includes transportation, communication, entertainment and health. Consequently electromagnetic fields interact with inner electromagnetism or tissue structures of living systems as human beings, promoting at the same time a great interest between biomedical and natural sciences while improving our knowled...

In real world computing environment with using a computer to answer questions has been a human dream since the beginning of the digital era,Question-answering systems are referred to as intelligent systems ,that can be used to provide responses for the questions being asked by the user based on certain facts or rules stored in the knowledge base it...

Aim: Rehabilitation practice for most patients consists of a combined use of thermotherapy that is produced from diathermy devices resulting faster and deeper heating to the patient, considerable concerns about occupational exposure to electromagnetic radiation for the operators has to be taken into account. In most occasions, physiotherapists have...

Microwave diathermies (MWDs) are electromagnetic (EM) radiation emitting systems that are used by physiotherapists for thermotherapy treatment. Although this form of therapy is widely available in most physiotherapy units worldwide, management of the equipment is not obligatory addressed either by clinical engineers or medical physicists. A novel q...

Assessment of muscle mass in the elderly in clinical practice Quantification of muscle mass is important in clinical practice and several tools are used for its measurement. This is a review and critical appraisal of the muscle mass assessment tools for use with elderly patients in clinical practice. Of the 10 different tools described to measure s...

Background: Although low back pain (LBP) is a debilitating problem internationally, there is not a lot of research on its impact on physical, psychosocial and lifestyle factors. Especially in Mediterranean countries, such as Greece, it is not sufficiently explored whether physical (pain location, activity limitation etc.), sociodemographic (educat...

Microwave diathermy (MWD) is a therapeutic system that is in use for some decades now in all physiotherapy settings, according to national facility establishment regulations. Diathermy devices probably lack validity, as working time passes, introducing the need of control/reset of the device by qualified personnel, in order to maintain its effectiv...

Objectives: Poor sleep quality is associated with increased risk for cardiovascular mortality, impaired cognition and decreased quality of life in older adults. Hence the objective of this preliminary study was to understand the prevalence of poor sleepers and finding the risk factors associated with poor sleep among Greek older adults. Method: 258...

Background. We need to understand more about how Deep Neck Flexors (DNF's) perform in different contexts and whether it affects the pain threshold over myofascial trigger points (MTrPs). Purpose. The objectives were to investigate the effect of neck muscles training on disability and pain and on pain threshold over MTrPs in people with chronic neck...

Background: Specific training of the deep cervical neck flexor muscles has been found to improve pain, disability, quality of life (QoL) and psychosocial status in patients with neck pain. However it is not well established if it is more effective than a general neck muscles’ training or advice. Purpose: To investigate the effects of deep cervical...

Context: Elastic bandages are commonly used in sports to treat and prevent sports injuries. Objective: To conduct a systematic review assessing the effectiveness of elastic bandaging in orthopedic and sports injuries prevention and rehabilitation. Evidence acquisition: We searched the following electronic databases: MEDLINE, CINAHL, SPORTDiscu...

Research objective are (1) assess the effectiveness of Swedish massage in the treatment of non-specific pain in the lumbar region, to (2) measure the effects of Swedish massage on pain intensity, disability indexes and anxiety levels and to (3) measure pain intensity, disability indexes and anxiety levels before and after a single session. An exper...

Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on "Methodologies, Models and Algorithms for Patients Rehabilitation". Objectives: The objective of the proposed approach is to develop a clinical decision support system (DSS) that will help clinicians optimally plan the ACL reconstruction procedure in a...

BACKGROUND. Given the high incidence of low back pain (LBP) internationally, there is still debate on the impact of pain intensity and location (including back-associated leg pain) on perceived disability and life-functioning factors in younger or middle-aged adults, where occupation is of primary importance. Additionally, there is limited research...

Fireworks are used worldwide during national and cultural celebrations, but they often cause moderate to severe injuries. A young male was injured by fireworks during festivities, as a unit hit him at the right arm causing severe and extended (second degree) burn. The patient volunteered for treatment with the Wetling-W200 Wireless Micro Current St...

Micro-wave diathermies (MWD) are a kind of wireless therapeutic systems that are in use for some decades now in all physiotherapy rooms according to national facility establishment regulations. Recently, a probable correlation between the use of diathermies in physiotherapy and health problems has already reported. It is additionally obvious that d...

Fireworks are used worldwide during national and cultural celebrations, but they often cause moderate to severe injuries. A young male was injured by fireworks during festivities, as a unit hit him at the right arm causing severe and extended (second degree) burn. The patient volunteered for treatment with the Wetling-W200 Wireless Micro Current St...

Introduction: Spinal metastatic disease is very common in patients with cancer. The goals of therapy are pain control and functional preservation. Kyphoplasty and spondyloplasty are minimal invasive procedures that play a crucial role in the treatment of spinal metastatic spine disease. Aims/Objectives: We assess the quality of life, anxiety and de...

Background: The click and tone-evoked auditory brainstem responses are widely used in clinical practice due to their consistency and predictability. More recently, the speech-evoked responses have been used to evaluate subcortical processing of complex signals, not revealed by responses to clicks and tones. Aims: Disyllable stimuli corresponding t...

Introduction: In recent years, artificial intelligence is used in a variety of systems in the field of medicine. The time when the only asset of the doctor was the classic leather bag containing a few basic instruments such as the stethoscope belongs to the dustbin of history. Objectives: In this paper we attempt to objectify and modeling the post...

This paper presents a framework for simulated evaluation of the biomechanics of the human knee after anterior cruciate ligament (ACL) tear. Following the notion of the Virtual Physiological Human (VPH), a computational model of both the kinematics and dynamics of the human knee is developed that is subsequently simulated for typical motions and act...

Purpose and background: Acoustic signals are transmitted through the external and middle ear mechanically to the cochlea where they are transduced into electrical impulse for further transmission via the auditory nerve. The auditory nerve encodes the acoustic sounds that are conveyed to the auditory brainstem. Multiple brainstem nuclei, the cochle...

accepted

Micro-wave diathermy (MWD) is a form of radiofrequency (RF) radiation, that is used by physiotherapists for rehabilitation. Although this form of therapy is widely available, the management of the equipment is not often addressed by either physiotherapists or by medical physics/clinical engineering. A quality control protocol for MWD units, examini...