Dimitrios P. Panagoulias

According to our database, Dimitrios P. Panagoulias authored at least 17 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

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

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

Evaluating LLM - Generated Multimodal Diagnosis from Medical Images and Symptom Analysis.

Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis

CoRR, 2024

Large Language Models as a Service: Optimisation Strategies via Knowledge Space Reduction.

Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024

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

Proceedings of the 14th International Conference on Information, 2023

Evaluating the Potential of LLMs and ChatGPT on Medical Diagnosis and Treatment.

Dimitrios P. Panagoulias, Filippos A. Palamidas, Maria Virvou, George A. Tsihrintzis

Proceedings of the 14th International Conference on Information, 2023

Tailored Explainability in Medical Artificial Intelligence-empowered Applications: Personalisation via the Technology Acceptance Model.

Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 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

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 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

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

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

Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

2022

nuhealthsoft: A Nutritional and Health Data Processing Software Tool from a patient's perspective.

Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis

Proceedings of the 16th International Conference on Signal-Image Technology & Internet-Based Systems, 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

Proceedings of the Knowledge-Based Software Engineering: 2022, 2022

Extreme value analysis for dietary intake based on weight class.

Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis

Proceedings of the 13th International Conference on Information, 2022

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

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

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

Biomarker-based deep learning for personalized nutrition.

Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021