Seminar: Constantinos S. Pattichis

November 1, 2024

Medical Imaging and AI

Constantinos S. Pattichis, Department of Computer Science & Biomedical Engineering Research Centre, University of Cyprus, & CYENS Centre of Excellence

3:00 pm, UNM Centennial Engineering Center, Room 1026
Online Guests: Contact Prof. Osiński <osinski@chtm.unm.edu> for a Zoom link

Abstract: Advances in Artificial Intelligence (AI) are reshaping the landscape of medical imaging, offering unprecedented opportunities for enhanced diagnosis, treatment planning, and patient outcomes. This presentation will briefly highlight how medical imaging AI-driven technologies will help towards offering precision medicine services. Key areas of focus will include deep learning models for image segmentation, classification, and anomaly detection, as well as their integration into clinical workflows to assist radiologists in identifying complex patterns that might be imperceptible to the human eye. Furthermore, we will explore case studies that underscore the effectiveness of explainable AI (XAI) in medical imaging, demonstrating how it provides clear, interpretable insights that empower clinicians with deeper understanding and confidence in AI-driven diagnoses.

Bio: Prof. Constantinos S. Pattichis has 30 years of experience in eHealth and connected health, medical imaging, biosignal analysis, intelligent systems and explainable AI, and more recently in mHealth interventions based on X Reality applications. He has been involved in numerous projects in these areas funded by EU and other bodies, with a total funding managed in excess of 20 million euros. He has published 150 journal articles, 265 conference papers, 3 monographs, 30 chapters in books and co-edited 4 volumes, 22 journal special issues and 20 conference proceedings. He was the Technical Leader of the EU project funded under the Emergency Support Instrument Action for Cyprus to implement the EU Digital COVID Certificate Platform for the issuance of the corresponding certificates for vaccination, recovery, and laboratory testing, which has been used by more than 1 million users (eudcc.gov.cy). He is a member of the European Academy of Sciences and Arts, Fellow of IEEE, IET, International Academy of Medical and Biomedical Engineering (IAMBE) and European Alliance for Medical & Biological Engineering & Science (EAMBES).