Biomarker-based deep learning for personalized nutrition. - Dimitrios P. Panagoulias; Dionisios N. Sotiropoulos; George A. Tsihrintzis (ICTAI, 2021)

Nutritional biomarkers and machine learning for personalized nutrition applications and health optimization. - Dimitrios P. Panagoulias; Dionisios N. Sotiropoulos; George A. Tsihrintzis (Intell. Decis. Technol., 2021)

A microservices-based iterative development approach for usable, reliable and explainable A.I.-infused medical applications using R.U.P. - Dimitrios P. Panagoulias; Maria Virvou; George A. Tsihrintzis (ICTAI, 2022)

Extreme value analysis for dietary intake based on weight class. - Dimitrios P. Panagoulias; Dionisios N. Sotiropoulos; George A. Tsihrintzis (IISA, 2022)

Regulation and Validation Challenges in Artificial Intelligence-Empowered Healthcare Applications - The Case of Blood-Retrieved Biomarkers. - Dimitrios P. Panagoulias; Maria Virvou; George A. Tsihrintzis (JCKBSE, 2022)

nuhealthsoft: A Nutritional and Health Data Processing Software Tool from a patient's perspective. - Dimitrios P. Panagoulias; Maria Virvou; George A. Tsihrintzis (SITIS, 2022)

Evaluation of ChatGPT-supported diagnosis, staging and treatment planning for the case of lung cancer. - Dimitrios P. Panagoulias; Filippos A. Palamidas; Maria Virvou; George A. Tsihrintzis (AICCSA, 2023)

An Empirical Study Concerning the Impact of Perceived Usefulness and Ease of Use on the Adoption of AI-Empowered Medical Applications. - Dimitrios P. Panagoulias; Maria Virvou; George A. Tsihrintzis (BIBE, 2023)

Rule-Augmented Artificial Intelligence-empowered Systems for Medical Diagnosis using Large Language Models. - Dimitrios P. Panagoulias; Filippos A. Palamidas; Maria K. Virvou; George A. Tsihrintzis (ICTAI, 2023)

Tailored Explainability in Medical Artificial Intelligence-empowered Applications: Personalisation via the Technology Acceptance Model. - Dimitrios P. Panagoulias; Maria Virvou; George A. Tsihrintzis (ICTAI, 2023)

Evaluating the Potential of LLMs and ChatGPT on Medical Diagnosis and Treatment. - Dimitrios P. Panagoulias; Filippos A. Palamidas; Maria Virvou; George A. Tsihrintzis (IISA, 2023)

Applying DOI Theory to Assess the Required Level of Explainability in Artificial Intelligence-empowered Medical Applications. - Dimitrios P. Panagoulias; Maria Virvou; George A. Tsihrintzis (IISA, 2023)

Large Language Models as a Service: Optimisation Strategies via Knowledge Space Reduction. - Dimitrios P. Panagoulias; Maria Virvou; George A. Tsihrintzis (COINS, 2024)

Memory and Schema in Human-Generative Artificial Intelligence Interactions. - Dimitrios P. Panagoulias; Persephone Papatheodosiou; Anastasios Bonakis; Dimitrios Dikeos; Maria Virvou; George A. Tsihrintzis (ICTAI, 2024)

Mathematical Representation of Memory and Schema for Improving Human-Generative AI Interactions. - Dimitrios P. Panagoulias; Persephone Papatheodosiou; Anastasios Bonakis; Dimitrios Dikeos; Maria Virvou; George A. Tsihrintzis (IISA, 2024)

LYRICEL: A Rule-Augmented Artificial Intelligence-Empowered Cultural E-Learning with GPT and Machine Learning for Song Lyrics. - Dimitrios P. Panagoulias; Dionisios N. Sotiropoulos; Konstantina Chrysafiadi; Evangelia-Aikaterini Tsichrintzi; Evangelos Sakkopoulos; George A. Tsihrintzis; Maria Virvou (IISA, 2024)

Evaluating Non-Expert Stakeholder Interaction with Artificial Intelligence on Energy Urban Domain Using VIRTSI: The Case of ChatGPT. - George A. Tsihrintzis; Elissaios Sarmas; Vangelis Marinakis; Dimitrios P. Panagoulias; Evangelia-Aikaterini Tsichrintzi; Maria Virvou (IISA, 2024)

Knowledge Space reduction via Sequential Language Model Integration. - Dimitrios P. Panagoulias; Maria Virvou; George A. Tsihrintzis (KES, 2024)

Leveraging Artificial Intelligence for personalised insomnia-sleep calibration via the Big Five Personality Traits. - Persephone Papatheodosiou; Dimitrios P. Panagoulias; Maria Virvou; George A. Tsihrintzis; Anastasios Bonakis; Dimitrios Dikeos (KES, 2024)

Evaluating LLM - Generated Multimodal Diagnosis from Medical Images and Symptom Analysis. - Dimitrios P. Panagoulias; Maria Virvou; George A. Tsihrintzis (CoRR, 2024)

Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology. - Dimitrios P. Panagoulias; Evridiki Tsoureli-Nikita; Maria Virvou; George A. Tsihrintzis (CoRR, 2024)

COGNET-MD, an evaluation framework and dataset for Large Language Model benchmarks in the medical domain. - Dimitrios P. Panagoulias; Persephone Papatheodosiou; Anastasios P. Palamidas; Mattheos Sanoudos; Evridiki Tsoureli-Nikita; Maria Virvou; George A. Tsihrintzis (CoRR, 2024)

Integrating Dynamic Correlation Shifts and Weighted Benchmarking in Extreme Value Analysis. - Dimitrios P. Panagoulias; Elissaios Sarmas; Vangelis Marinakis; Maria Virvou; George A. Tsihrintzis (CoRR, 2024)

A novel framework for artificial intelligence explainability via the Technology Acceptance Model and Rapid Estimate of Adult Literacy in Medicine using machine learning. - Dimitrios P. Panagoulias; Maria Virvou; George A. Tsihrintzis (Expert Syst. Appl., 2024)

Artificial Intelligence-Empowered Bio-medical Applications - Challenges, Solutions and Development Guidelines - Dimitrios P. Panagoulias; George A. Tsihrintzis; Maria Virvou (Springer, 2025)

LYRICEL: Knowledge Graphs Combined With Large Language Models and Machine Learning for Cross-Cultural Analysis of Lyrics - The Case of Greek Songs. - Dimitrios P. Panagoulias; Evangelia-Aikaterini Tsichrintzi; Dionisios N. Sotiropoulos; Konstantina Chrysafiadi; Evangelos Sakkopoulos; George A. Tsihrintzis; Maria Virvou (IEEE Access, 2025)

Energy Urban Domain: Personalized Evaluation of Expert and Non-Expert Stakeholder Interaction With Artificial Intelligence Through ChatGPT Using the VIRTSI Model. - George A. Tsihrintzis; Elissaios Sarmas; Vangelis Marinakis; Dimitrios P. Panagoulias; Evangelia-Aikaterini Tsichrintzi; Maria Virvou (IEEE Access, 2025)

Dermacen analytica: A novel methodology integrating multi-modal large language models with machine learning in dermatology. - Dimitrios P. Panagoulias; Evridiki Tsoureli-Nikita; Maria Virvou; George A. Tsihrintzis (Int. J. Medical Informatics, 2025)

A framework for evaluation and requirement extraction for fine-tuning of Large Language Models in multimodal medical diagnosis. - Dimitrios P. Panagoulias; Anastasios P. Palamidas; Maria Virvou; George A. Tsihrintzis (Knowl. Based Syst., 2025)