All Stories

  1. Rule-Augmented Artificial Intelligence-empowered Systems for Medical Diagnosis using Large Language Models

    Article • November 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Dimitrios P. Panagoulias

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

    Article • November 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Dimitrios P. Panagoulias

  3. Intelligent Decision Support for Energy Management: A Methodology for Tailored Explainability of Artificial Intelligence Analytics

    Article • Electronics, October 2023, MDPI AG

    Dimitrios P. Panagoulias

  4. Applying DOI Theory to Assess the Required Level of Explainability in Artificial Intelligence-empowered Medical Applications

    Article • July 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Dimitrios P. Panagoulias

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

    Article • July 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Dimitrios P. Panagoulias

  6. Regulation and Validation Challenges in Artificial Intelligence-Empowered Healthcare Applications—The Case of Blood-Retrieved Biomarkers

    Article • January 2023, Springer Science + Business Media

    Dimitrios P. Panagoulias

  7. An Extreme Value Analysis-Based Systemic Approach in Healthcare Information Systems: The Case of Dietary Intake

    Article • Electronics, December 2022, MDPI AG

    Dimitrios P. Panagoulias

  8. A microservices-based iterative development approach for usable, reliable and explainable A.I.-infused medical applications using R.U.P

    Article • October 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Dimitrios P. Panagoulias

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

    Article • October 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Dimitrios P. Panagoulias

  10. Extreme value analysis for dietary intake based on weight class

    Article • July 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Dimitrios P. Panagoulias

  11. SVM-Based Blood Exam Classification for Predicting Defining Factors in Metabolic Syndrome Diagnosis

    Article • Electronics, March 2022, MDPI AG

    Dimitrios P. Panagoulias

  12. Nutritional biomarkers and machine learning for personalized health optimization

    Article • Intelligent Decision Technologies, January 2022, IOS Press

    Dimitrios P. Panagoulias, Prof.-Dr. George A. Tsihrintzis

  13. Towards Personalized Nutrition Applications with Nutritional Biomarkers and Machine Learning

    Article • December 2021, Springer Science + Business Media

    Dimitrios P. Panagoulias

  14. Biomarker-based deep learning for personalized nutrition

    Article • November 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Dimitrios P. Panagoulias

  15. Nutritional biomarkers and machine learning for personalized nutrition applications and health optimization

    Article • July 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Dimitrios P. Panagoulias