Dimitrios P. Panagoulias

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Perceived Usefulness

Artificial Intelligence

Medical Diagnosis

Technology Acceptance

Top Venues

Publications

Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis
Evaluating LLM - Generated Multimodal Diagnosis from Medical Images and Symptom Analysis. CoRR (2024)
Dimitrios P. Panagoulias, Persephone Papatheodosiou, Anastasios P. Palamidas, Mattheos Sanoudos, Evridiki Tsoureli-Nikita, Maria Virvou, George A. Tsihrintzis
COGNET-MD, an evaluation framework and dataset for Large Language Model benchmarks in the medical domain. CoRR (2024)
Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis
A novel framework for artificial intelligence explainability via the Technology Acceptance Model and Rapid Estimate of Adult Literacy in Medicine using machine learning. Expert Syst. Appl. 248 (2024)
Dimitrios P. Panagoulias, Evridiki Tsoureli-Nikita, Maria Virvou, George A. Tsihrintzis
Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology. CoRR (2024)
Dimitrios P. Panagoulias, Filippos A. Palamidas, Maria Virvou, George A. Tsihrintzis
Evaluating the Potential of LLMs and ChatGPT on Medical Diagnosis and Treatment. IISA (2023)
Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis
Applying DOI Theory to Assess the Required Level of Explainability in Artificial Intelligence-empowered Medical Applications. IISA (2023)
Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis
Tailored Explainability in Medical Artificial Intelligence-empowered Applications: Personalisation via the Technology Acceptance Model. ICTAI (2023)
Dimitrios P. Panagoulias, Filippos A. Palamidas, Maria Virvou, George A. Tsihrintzis
Evaluation of ChatGPT-supported diagnosis, staging and treatment planning for the case of lung cancer. AICCSA (2023)
Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis
An Empirical Study Concerning the Impact of Perceived Usefulness and Ease of Use on the Adoption of AI-Empowered Medical Applications. BIBE (2023)
Dimitrios P. Panagoulias, Filippos A. Palamidas, Maria K. Virvou, George A. Tsihrintzis
Rule-Augmented Artificial Intelligence-empowered Systems for Medical Diagnosis using Large Language Models. ICTAI (2023)
Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis
A microservices-based iterative development approach for usable, reliable and explainable A.I.-infused medical applications using R.U.P. ICTAI (2022)
Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis
Extreme value analysis for dietary intake based on weight class. IISA (2022)
Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis
Regulation and Validation Challenges in Artificial Intelligence-Empowered Healthcare Applications - The Case of Blood-Retrieved Biomarkers. JCKBSE (2022)
Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis
nuhealthsoft: A Nutritional and Health Data Processing Software Tool from a patient's perspective. SITIS (2022)
Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis
Nutritional biomarkers and machine learning for personalized nutrition applications and health optimization. IISA (2021)
Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis
Nutritional biomarkers and machine learning for personalized nutrition applications and health optimization. Intell. Decis. Technol. 15 (4) (2021)
Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis
Biomarker-based deep learning for personalized nutrition. ICTAI (2021)