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
George A. Giannakoulas (ORCID: https://orcid.org/0000-0001-7491-6319)
Clinical Performance Evaluation of an Artificial Intelligence–Based Tool for Predicting the Presence of Obstructive Coronary Artery Disease: Protocol for a Cohort Observational Study
George A. Giannakoulas, Panagiotis Kartsidis, Emmanouil S. Rigas, Evangelos Logaras et al.
Journal
JMIR Research Protocols
Topics
Cardiac Imaging and Diagnostics
article
Clinical Performance Evaluation of an Artificial Intelligence–Based Tool for Predicting the Presence of Obstructive Coronary Artery Disease: Protocol for a Cohort Observational Study
George A. Giannakoulas, Panagiotis Kartsidis, Emmanouil S. Rigas, Evangelos Logaras, Panagiotis D. Bamidis, Athanasios Samaras, Κωνσταντίνος Κούσκουρας, Georgios Rampidis, Styliana Siakopoulou, Antonios Billis, Ilias Kyparissidis-Kokkinidis
article en
Abstract
No abstract available for this paper.
Publication Tag
JMIR Research ProtocolsVol. 14
Institutions
Aristotle University of Thessaloniki (GR), AHEPA University Hospital (GR), Veria General Hospital (GR)
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Clinical Performance Evaluation of an Artificial Intelligence–Based Tool for Predicting the Presence of Obstructive Coronary Artery Disease: Protocol for a Cohort Observational Study — George A. Giannakoulas, Panagiotis Kartsidis, et al. · JMIR Research Protocols (2025) | TGRS Research Map | TGRS