Journal of Digital Health and AI in Healthcare an international, peer-reviewed journal that explores the transformative impact of digital technologies and AI on the healthcare industry. Our journal provides a multidisciplinary platform for researchers, clinicians, and healthcare professionals to share their findings and insights, driving the future of digital health and AI applications.
JDHAIH publishes original research articles, reviews, case reports, case studies, editorials, insightful commentaries that highlight the innovative use of digital tools in medical practice, multimedia articles for virtual reality and enhanced reality, narratives of implementation experiences and other materials and perspectives that cover a wide array of topics within digital health and AI applications in healthcare. This includes, but is not limited to, AI-driven diagnostics, digital therapeutics, telemedicine, wearable health devices, big data analytics, and personalized medicine. The journal prioritizes high-quality, evidence-based studies that demonstrate clear clinical or operational impact, advancing our understanding of how digital tools can transform healthcare delivery and patient experiences.
Honorable Editors
Sebastian Obeta
Member of European AI Alliance - Intersection of Technology, Humanity, & AI Ethics Researcher, Founder of Applied Artificial Intelligence Society (University of Bradford) United Kingdom (UK). Research Interests: Artificial Intelligence, AI Ethics, Computer Vision, and Natural Language Processing.
Dr. Maggie Kang, MD
Life and Healthcare Coach, McLean, Virginia, USA. Research Interests: Resilience and mental health in healthcare, caregiver experience in rare diseases, life-health coaching, patient advocacy, chronic illness adaptation, and improving quality of life for patients and caregivers.
Prof. Ioannis Kypraios (D.Phil.(Sussex), Ph.D.(Patras), MSc, BEng(Hons), PGCert(HE) – FHEA, MIET, MIEEE)
Professor in Artificial Intelligence and Machine Learning affiliated with the Khoury College of Computer Sciences of Northeastern University, Boston, MA. Innovation Radar Expert in Artificial Intelligence for the European Innovation Council (EIC) of the European Commission, Brussels, Belgium. Founder and Managing Director (CEO) of Dianoesis Tech Limited, London, UK. Research Interests: Artificial Intelligence, Machine Learning, Data Science, Digital Healthcare Technologies for Diagnostics and Therapeutics, Trustworthy AI for Digital Platforms, Explainable AI and Hybrid Neuro symbolic Reasoning Systems, Natural Language Processing and genAI, AI models in digital innovation and technology, Optical Computing and Photonics, Biomimetics and Systems Biology, Robust Object Recognition Systems and Neuroinformatics, Perception and Learning and Cognitive Systems, Intelligent Transport, Internet of Things and Sensor Networks, Biosignals and Digital Signal Processing for Telemetry applications, iPPG and Thermal Sensing (LWIR/SWIR), Geometric Topologies and Manifolds for Knowledge Representation and Knowledge Learning.
Founder of Applied Artificial Intelligence Society (University of Bradford) United Kingdom (UK).
Research Interests: Artificial Intelligence, AI Ethics, Computer Vision, and Natural Language Processing.
McLean, Virginia, USA.
Research Interests: Resilience and mental health in healthcare, caregiver experience in rare diseases, life-health coaching, patient advocacy, chronic illness adaptation, and improving quality of life for patients and caregivers.
Innovation Radar Expert in Artificial Intelligence for the European Innovation Council (EIC) of the European Commission, Brussels, Belgium.
Founder and Managing Director (CEO) of Dianoesis Tech Limited, London, UK.
Research Interests: Artificial Intelligence, Machine Learning, Data Science, Digital Healthcare Technologies for Diagnostics and Therapeutics, Trustworthy AI for Digital Platforms, Explainable AI and Hybrid Neuro symbolic Reasoning Systems, Natural Language Processing and genAI, AI models in digital innovation and technology, Optical Computing and Photonics, Biomimetics and Systems Biology, Robust Object Recognition Systems and Neuroinformatics, Perception and Learning and Cognitive Systems, Intelligent Transport, Internet of Things and Sensor Networks, Biosignals and Digital Signal Processing for Telemetry applications, iPPG and Thermal Sensing (LWIR/SWIR), Geometric Topologies and Manifolds for Knowledge Representation and Knowledge Learning.