Dr Elisavet Andrikopoulou
Summary
Dr Elisavet Andrikopoulou is a health informatics researcher and educator with a background in computer science and a PhD focused on personal health records for people with long-term conditions. She is a Senior Lecturer in Computer Science at the University of Portsmouth and is the Publications Officer of the European Federation of Medical Informatics, the Publications and Communications Lead for the BCS Faculty of Health and Care, and a member of the BMJ Health & Care Informatics Management Committee and JMIR Protocols Associate Editor. Her main research interest centre on digital health, diabetes, data analytics and AI, and data visualisation. She is actively involved in conference leadership, publishing, and is strongly committed to strengthening research visibility, supporting early-career researchers, and promoting high-quality, accessible health informatics scholarship across Europe. LinkedIn ProfileResearch outputs
2026
Aligning AI-Native 6G Healthcare Systems with EU Ethical and Legal Frameworks
Kanaki, E., Andrikopoulou, E., Chatzimisios, P., Kanta, A.
21 May 2026,
Research output: Conference contribution
Exploring User Trust and Adoption of AI Chatbots for Health and Fitness Management Across Age Groups
Baffa, K., Andrikopoulou, E.
21 May 2026,
Research output: Conference contribution
Balancing Personalisation and Interoperability: An Enterprise Architecture Approach to Person-Centred Digital Health
Piera-Jiménez, J., Rigby, M., Cresswell, K., Alhuwail, D., Andrikopoulou, E.
21 May 2026,
Research output: Conference contribution
Crucial Concepts in 'Opening the Personal Gate Between Technology and Health Care'
Rigby, M., Cresswell, K., Wong, Z. S., Andrikopoulou, E., Prgomet, M., Eriksen, J., Piera-Jiménez, J.
21 May 2026,
Research output: Conference contribution
Engaging patients with heart failure in diet and nutritional health behaviors through mHealth applications – a restricted, systematic review
Andrikopoulou, E., Austin, R. C., Ahmad, F., Husebø, A. M. L.
16 Feb 2026, In: Current Heart Failure Reports. 23, 1, 13p., 8
Research output: Article
2025
Revolutionizing medical imaging: a cutting-edge AI framework with vision transformers and perceiver IO for multi-disease diagnosis
Khaliq, A., Ahmad, F., Rehman, H. U., Alanazi, S. A., Haleem, H., Junaid, K., Andrikopoulou, E.
1 Dec 2025, In: Computational Biology and Chemistry. 119, 29p., 108586
Research output: Article
Validation and evaluation as essentials to ensuring safe AI health applications
Rigby, M., Andrikopoulou, E., Prgomet, M., Medlock, S., SY WONG, Z., Cresswell, K.
20 Oct 2025,
Research output: Conference contribution
MedTok or MythTok? Classifying health misinformation on TikTok with AI
Andrikopoulou, E., Talam, N., Kanta, A.
20 Oct 2025,
Research output: Conference contribution
Essential design features of Mhealth applications that improve medication adherence for people with diabetes
Andrikopoulou, E., Scott, P.
7 Aug 2025,
Research output: Conference contribution
Using the Hospital Frailty Risk Score to predict in-hospital mortality across all adult ages
Kutrani, H. K. S., Briggs, J., Prytherch, D., Andrikopoulou, E., Spice, C.
21 May 2025,
Research output: Conference contribution