Recent publications
Article
García-Lorenzo, B, Gorostiza, A, González, N, Larrañaga, I, Moro, Á, Ortega-Gil, A, Zubelzu, B, Vega, R, de La Higuera, L, Kaye, R, Levy, G, Vishnevetsky, O, Sorknæs, AD, Christensen, RL, Juul, NK, Randeva, H, Robbins, T, Yorkston, M, Laleci Erturkmen, GB, Yuksel, M, Sarigul, B, Arvanitis, TN, Pournik, O, Tong, C, Aznar-Baranda, JI, Caballero-García, J, Vallejo-Setién, G, Lilja, M, Sherman, MH, Swoboda, A, Groene, O, Bloemeke-Cammin, J, Kalra, D, Maguire, R, McCann, L, Miller, M, López, NFG, de Elguea, LO, Lana, MÁO, Alayo, I, Aguirre, U, Perea, BL, Yeshayahu, M, Halevy, ED, Panchal, S, Yılmaz, G, de La Torre, J, Verdoy, D, de Manuel Keenoy, E & Fullaondo, A 2026, 'Assessment of the ADLIFE intervention as a digital solution for patients with advanced chronic diseases: a quasi-experimental trial', npj Digital Medicine, vol. 9, no. 1, 475. https://doi.org/10.1038/s41746-026-02716-0
Griffiths-King, DJ, Mulvany, T, Rose, HEL, Peet, AC, Apps, JR, Arvanitis, TN & Novak, J 2026, 'Deep learning segmentation of paediatric brain tumours using diffusion-weighted MRI: towards an early, in vivo classification pipeline', Brain Communications, vol. 8, no. 4, fcag317. https://doi.org/10.1093/braincomms/fcag317
Pournik, O, Ghalichi, L, Ayadi, J, Consoli, A, Gallos, P, Abbasi, SF, Ding, X & Arvanitis, TN 2026, 'From Clinical Decision Support to Equity-Aware Decision Support: A Conceptual Architecture for Digital Health Systems', Studies in health technology and informatics, vol. 338, pp. 497-501. https://doi.org/10.3233/SHTI260893
Khan, K, Malik, L, Khan, AQ, Abbasi, SF & Arvanitis, TN 2026, 'Non invasive blood glucose estimation using green light photoplethysmography and machine learning', Frontiers in digital health, vol. 8, 1705086. https://doi.org/10.3389/fdgth.2026.1705086
Zhao, T, L. Rose, HE, Grist, JT, MacPherson, L, Li, H, Arvanitis, TN, Apps, JR & Peet, AC 2025, 'Accurate Paediatric Brain Tumour Classification Through Improved Quantitative Analysis of 1H MR Imaging and Spectroscopy', NMR in biomedicine, vol. 38, no. 9, e70103. https://doi.org/10.1002/nbm.70103
Conference contribution
Pournik, O, Watts, E, Richards, E, Boelaert, K, Sharma, N, Abbasi, SF, Ding, X, Ghalichi, L & Arvanitis, TN 2026, A Hybrid Delphi-Inspired Expert-LLM Workflow for Efficient Evidence Screening in Systematic Reviews. in M Giacomini, J Delgado, TN Arvanitis, E Andrikopoulou, A Benis, G Balestra, R Bellazzi, P Gallos, R Gatta, DR Giacobbe, N Giordano, M Hägglund, L Lindsköld, L Lhotska, S Marceglia, E Parimbelli, L Sacchi, P Soda, L Stoicu-Tivadar, P Veltri & P Vizza (eds), Opening the Personal Gate between Technology and Health Care: Proceedings of MIE 2026. Studies in Health Technology and Informatics, vol. 336, IOS Press, pp. 670-674, 36th Medical Informatics Europe Conference, MIE 2026, Genoa, Italy, 25/05/26. https://doi.org/10.3233/SHTI260255
Ding, X, Pournik, O, Abbasi, SF, Bai, L, Epiphaniou, G, Matragkas, N, Harrison, S, Parra-Calderón, CL & Arvanitis, T 2026, Enhancing Ontology Engineering with Large Language Models: A Stage-Wise Human-in-the-Loop Study. in M Giacomini, J Delgado, TN Arvanitis, E Andrikopoulou, A Benis, G Balestra, R Bellazzi, P Gallos, R Gatta, DR Giacobbe, N Giordano, M Hägglund, L Lindsköld, L Lhotska, S Marceglia, E Parimbelli, L Sacchi, P Soda, L Stoicu-Tivadar, P Veltri & P Vizza (eds), Opening the Personal Gate between Technology and Health Care: Proceedings of MIE 2026. Studies in Health Technology and Informatics, vol. 336, IOS Press, pp. 874-878, EFMI Medical Informatics Europe 2026, Genova, Italy, 25/05/26. https://doi.org/10.3233/SHTI260304
Allington, R, Mahmoodi, N, Pournik, O & Arvanitis, TN 2026, Evaluating Large Language Models for Extracting Clinical Recommendations from Practice Guidelines: A Preliminary Study. in M Giacomini, J Delgado, TN Arvanitis, E Andrikopoulou, A Benis, G Balestra, R Bellazzi, P Gallos, R Gatta, DR Giacobbe, N Giordano, M Hägglund, L Lindsköld, L Lhotska, S Marceglia, E Parimbelli, L Sacchi, P Soda, L Stoicu-Tivadar, P Veltri & P Vizza (eds), Opening the Personal Gate between Technology and Health Care: Proceedings of MIE 2026. Studies in Health Technology and Informatics, vol. 336, IOS Press, pp. 964-968, 36th Medical Informatics Europe Conference, MIE 2026, Genoa, Italy, 25/05/26. https://doi.org/10.3233/SHTI260322
Pournik, O, Abbasi, SF, Ding, X, Mahmoodi, N, Allington, R, Peltonen, LM, Gallos, P, Ghalichi, L & Arvanitis, TN 2026, Large Language Models for Health Knowledge Modelling in Data Interoperability: A Scoping Review of Methods, Standards, and Applications. in M Giacomini, J Delgado, TN Arvanitis, E Andrikopoulou, A Benis, G Balestra, R Bellazzi, P Gallos, R Gatta, DR Giacobbe, N Giordano, M Hägglund, L Lindsköld, L Lhotska, S Marceglia, E Parimbelli, L Sacchi, P Soda, L Stoicu-Tivadar, P Veltri & P Vizza (eds), Opening the Personal Gate between Technology and Health Care: Proceedings of MIE 2026. Studies in Health Technology and Informatics, vol. 336, IOS Press, pp. 1287-1291, EFMI Medical Informatics Europe 2026, Genova, Italy, 25/05/26. https://doi.org/10.3233/SHTI260406
Bai, L, Pournik, O, Ding, X, Abbasi, SF, Zhang, L & Arvanitis, T 2026, Membership Inference or Data Split Bias? Identifying False Positives in Synthetic Medical Image Privacy Audits. in M Giacomini, J Delgado, TN Arvanitis, E Andrikopoulou, A Benis, G Balestra, R Bellazzi, P Gallos, R Gatta, DR Giacobbe, N Giordano, M Hägglund, L Lindsköld, L Lhotska, S Marceglia, E Parimbelli, L Sacchi, P Soda, L Stoicu-Tivadar, P Veltri & P Vizza (eds), Opening the Personal Gate between Technology and Health Care: Proceedings of MIE 2026. Studies in Health Technology and Informatics, vol. 336, IOS Press, pp. 685-689, EFMI Medical Informatics Europe 2026, Genova, Italy, 25/05/26. https://doi.org/10.3233/SHTI260258
Abbasi, SF, Bilal, M, Ding, X, Bai, L, Pournik, O, Islam, SU, Epiphaniou, G, Maple, C & Arvanitis, TN 2026, Secure and Enhanced Cyber-Threat Detection in IoMT Using Locally Deployed Large Language Models. in M Giacomini, J Delgado, TN Arvanitis, E Andrikopoulou, A Benis, G Balestra, R Bellazzi, P Gallos, R Gatta, DR Giacobbe, N Giordano, M Hägglund, L Lindsköld, L Lhotska, S Marceglia, E Parimbelli, L Sacchi, P Soda, L Stoicu-Tivadar, P Veltri & P Vizza (eds), Opening the Personal Gate between Technology and Health Care: Proceedings of MIE 2026. Studies in Health Technology and Informatics, vol. 336, IOS Press, pp. 969-973, 36th Medical Informatics Europe Conference, MIE 2026, Genoa, Italy, 25/05/26. https://doi.org/10.3233/SHTI260323
Wang, C, Yi, Q, Aflakian, A, Ye, J, Arvanitis, T, Dearn, KD & Hajiyavand, A 2025, A Deep-Learning Framework for Ovarian Cancer Subtype Classification Using Whole Slide Images. in E Andrikopoulou, P Gallos, TN Arvanitis, R Austin, A Benis, R Cornet, P Chatzistergos, A Dejaco, L Dusseljee-Peute, A Mohasseb, P Natsiavas, H Nakkas & P Scott (eds), Intelligent Health Systems - From Technology to Data and Knowledge: Proceedings of MIE 2025. Studies in Health Technology and Informatics, vol. 327, IOS Press, pp. 1290-1294, 35th Medical Informatics Europe Conference, MIE 2025, Glasgow, United Kingdom, 19/05/25. https://doi.org/10.3233/SHTI250606
Review article
Liu, J, Aung, N, Arvanitis, TN, Lima, JAC, Petersen, SE & Zhang, L 2026, 'Exploiting Completeness Perception with Diffusion Transformer for Unified 3D MRI Synthesis', Transactions on Machine Learning Research, vol. 2026. <https://openreview.net/forum?id=DCaolE9oBN>
Ni, H, Fu, Q, Easton, J, Zhao, N & Arvanitis, TN 2026, 'Reinforcement learning in railway research and applications: A review', Transportation Research Interdisciplinary Perspectives, vol. 39, 102165. https://doi.org/10.1016/j.trip.2026.102165
Waseem, HM, Islam, SU, Matragkas, N, Epiphaniou, G, Arvanitis, TN & Maple, C 2026, 'Review of generative AI for synthetic data generation: a healthcare perspective', Artificial Intelligence Review, vol. 59, no. 2, 55. https://doi.org/10.1007/s10462-025-11440-2
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