Editorial board

Dr. Saif Ul Islam is affiliated with the University of Warwick, UK. He received his PhD in Computer Science from Université Toulouse III Paul Sabatier, Toulouse, France, in 2015.

His research focuses on health informatics, healthcare synthetic data, sustainable AI, AI assurance, cybersecurity, artificial intelligence, and smart healthcare. He has more than 15 years of research experience and has been involved in UKRI- and EU-funded research projects, including leading research for the EU Horizon project INSAFEDARE.

He is ranked among the top 2% of scientists globally by Elsevier and Stanford University. He has an h-index of 37 according to Google Scholar, serves as an Associate Editor of two journals, and has authored and co-authored numerous scientific publications.

Dr. Elisavet Andrikopoulou is a Senior Lecturer in Computer Science at the University of Portsmouth, UK. She is a health informatics researcher and educator with a background in computer science, and her PhD focused on personal health records for people with long-term conditions.

Her main research interests include digital health, diabetes, data analytics and AI, and data visualisation. Her work focuses on the use of health informatics and digital technologies to support healthcare, research, and people living with long-term conditions.

She is the Publications and Communications Lead of the BCS Faculty of Health and Care. She also serves as the Publications Officer of the European Federation for Medical Informatics (EFMI), and is a member of the BMJ Health & Care Informatics Management Committee and an Associate Editor of JMIR Protocols.

Dr. Petter Hurlen is Secretary of the European Federation for Medical Informatics (EFMI) and Head of Clinical Informatics at Akershus University Hospital in Norway. He is a radiologist with over 40 years of experience at the intersection of medicine and informatics, and holds degrees in medicine and computer science, as well as a PhD in radiology informatics and health services research.

He has contributed extensively to national and international health informatics, including through IMIA, EFMI, CEN/TC 251 Health Informatics, and several research and standardisation initiatives. His work has focused on electronic health records, radiology informatics, health data models, clinical informatics, and citizen-centred digital health solutions.

He has also served as an advisor to Norwegian health authorities and professional organisations, and has held academic positions in anatomy, radiology, and clinical informatics.

Prof. Gregor Štiglic is a Professor and Vice Dean for Research at the University of Maribor, Faculty of Health Sciences, Slovenia, where he also heads the Research Institute. His work focuses on artificial intelligence in healthcare, clinical decision support, predictive modelling, explainable AI, digital health, and evidence synthesis.

He has coordinated and contributed to interdisciplinary research linking health sciences, computer science, and clinical practice. He is Co-Chair of the Artificial Intelligence in Medicine Society, a member of ELLIS, and serves on several editorial boards.

His current work emphasises responsible, transparent, and clinically useful AI for health systems.

Dr. Parisis Gallos is an Assistant Professor of Health Informatics in the Department of Nursing at the University of West Attica, Athens, Greece. His research focuses on biomedical informatics, eHealth systems, mHealth, mobile technologies, technology acceptance, and the use of digital health solutions in healthcare.

He holds a PhD in Health Informatics with a focus on mHealth technologies. His academic background also includes nursing and health informatics, giving his work a strong connection to both healthcare practice and digital health research.

He is actively involved in European medical informatics communities and has served as Publications Officer of the European Federation for Medical Informatics (EFMI). He has also contributed to national and international research in health informatics, including projects related to digital health, medical device regulation, and the use of real and synthetic data in healthcare innovation.

Dr. Virpi Jylhä is a Senior Lecturer in Health and Human Services Informatics at the University of Eastern Finland. She also serves as Deputy Director of the JBI Finnish Centre for Evidence-Based Health Care and Chair of the Finnish Social and Health Care Informatics Association.

Her research focuses on digital health services, their safety, patient-generated data, and rehabilitation information systems. She is particularly interested in advancing evidence-based health informatics to support high-quality, safe, and effective care.

Elli is a researcher and lecturer at TalTech's Department of Health Technologies, where she leads work on applied AI in healthcare. She holds a PhD in Computer Science and has a background in Engineering Physics and Applied Mathematics.

Her research applies machine learning to disease diagnostics, including deep learning-based motor function assessment with explainability methods for Parkinson's disease detection, computer vision and wearable sensors for stroke rehabilitation, and the validation of large language models in clinical Estonian.

She teaches Deep Learning in Healthcare and delivers AI literacy training to clinicians across Estonian hospitals.

Raivo Kolde, PhD, is an Associate Professor of Health Informatics at the University of Tartu. He holds degrees in mathematical statistics and a PhD in bioinformatics.

He completed a postdoctoral fellowship at Harvard Medical School and has worked at Philips Research North America. He has created several popular software tools for research and has led collaborative projects with biological and clinical researchers.

His current research interests centre on observational clinical research using health record databases, as well as the development of computational methods for such research.

Dr. Carlos Luis Parra-Calderón is Head of Computational Health Informatics at the Institute of Biomedicine of Seville and is affiliated with Virgen del Rocío University Hospital in Seville, Spain. His work focuses on biomedical and health informatics, digital health, FAIR health data, clinical and translational research informatics, and electronic health records.

He holds a PhD in Software Engineering, as well as qualifications in organisational engineering and economics from the University of Seville. His professional work has included technological innovation in healthcare, biomedical informatics, and the development of health information systems.

He is actively involved in international health informatics communities, including IMIA and EFMI, and serves as Chair of the IMIA Health Information Systems Working Group and Co-Chair of the EFMI Translational Health Informatics Working Group.

Professor Hanna Suominen is a renowned catalyst in co-creating human-centred AI, as evidenced by her keynotes, research awards, and 20 years of work fuelling the demand for smart sensing and sense-making systems.

Following her pioneering contributions to clinical text mining, speech recognition in hospitals, and smart sports sensors in 2005–2015, she has developed methods to detect Parkinsonian markers in the human voice that are imperceptible to a neurologist. She has also created smartphone apps to facilitate such discoveries.

Her work supports customer-friendly information access through data and software, and has been systematically evaluated and reviewed as rapidly growing and long-lasting in its research impact.