This paper is in the following e-collection/theme issue:

Non-Randomized Studies (funded, eHealth) (125) Clinical Information and Decision Making (1914) Decision Support for Health Professionals (1538) Coronary Heart Disease (109) Imaging Informatics (302) mHealth in a Clinical Setting (743) Advanced Data Analytics in eHealth (209) Machine Learning (2074) Artificial Intelligence (2126) Applications of AI (285) Tools, Programs and Algorithms (376)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67697, first published .
Clinical Performance Evaluation of an Artificial Intelligence–Based Tool for Predicting the Presence of Obstructive Coronary Artery Disease: Protocol for a Cohort Observational Study

Clinical Performance Evaluation of an Artificial Intelligence–Based Tool for Predicting the Presence of Obstructive Coronary Artery Disease: Protocol for a Cohort Observational Study

Clinical Performance Evaluation of an Artificial Intelligence–Based Tool for Predicting the Presence of Obstructive Coronary Artery Disease: Protocol for a Cohort Observational Study

Authors of this article:

Georgios Rampidis1, 2 Author Orcid Image ;   Evangelos Logaras3 Author Orcid Image ;   Athanasios Samaras1, 2 Author Orcid Image ;   Emmanouil S Rigas3 Author Orcid Image ;   Ilias Kyparissidis-Kokkinidis3 Author Orcid Image ;   Styliana Siakopoulou3 Author Orcid Image ;   Panagiotis-Emmanouil Kartsidis3 Author Orcid Image ;   Konstantinos Kouskouras4 Author Orcid Image ;   George Giannakoulas1, 2 Author Orcid Image ;   Panagiotis Bamidis3 Author Orcid Image ;   Antonios Billis3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Georgios Rampidis   1, 2 , MD ;   Evangelos Logaras   3 , MSc ;   Athanasios Samaras   1, 2 , MD ;   Emmanouil S Rigas   3 , PhD ;   Ilias Kyparissidis-Kokkinidis   3 , MSc ;   Styliana Siakopoulou   3 , BSc ;   Panagiotis-Emmanouil Kartsidis   3 , MSc ;   Konstantinos Kouskouras   4 , Prof Dr Med ;   George Giannakoulas   1, 2 , Prof Dr Med ;   Panagiotis Bamidis   3 , Prof Dr ;   Antonios Billis   3 , PhD

1 First Department of Cardiology, University General Hospital of Thessaloniki AHEPA, Thessaloniki, Greece

2 Cardiac Imaging Unit, Diagnostic Center “PANAGIA”, Veroia, Greece

3 Lab of Medical Physics and Digital Innovation, Aristotle University of Thessaloniki, Thessaloniki, Greece

4 First Department of Radiology, University General Hospital of Thessaloniki AHEPA, Thessaloniki, Greece

Corresponding Author:

  • Antonios Billis, PhD
  • Lab of Medical Physics and Digital Innovation
  • Aristotle University of Thessaloniki
  • School of Medicine, University Campus
  • Thessaloniki 541 24
  • Greece
  • Phone: 30 2310999237
  • Email: antonis.mpillis@gmail.com