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Variation in Telehealth Use for Patients With Incident Atrial Fibrillation Across the Veterans Health Administration: Retrospective Cohort Study

Variation in Telehealth Use for Patients With Incident Atrial Fibrillation Across the Veterans Health Administration: Retrospective Cohort Study

We described sociodemographic and clinical characteristics of patients who had primary care and cardiology visits. As these are not independent groups (most patients who had cardiology visits also had primary care visits), we did not test the statistical significance of differences between these groups.

Rebecca Lauren Tisdale, Neil M Kalwani, Harrison Koos, Jun Fan, Natasha Din, Alexander C Perino, David C Chan, Alexander Tarlochan Sandhu, Paul A Heidenreich

J Med Internet Res 2025;27:e76177


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

The European Society of Cardiology clinical practice guidelines for the management of stable chest pain congruently suggest CCTA as a first-line diagnostic option in symptomatic cases, which are thought to have a low-to-intermediate pretest odds of being diagnosed with obstructive CAD [4].

Georgios Rampidis, Evangelos Logaras, Athanasios Samaras, Emmanouil S Rigas, Ilias Kyparissidis-Kokkinidis, Styliana Siakopoulou, Panagiotis-Emmanouil Kartsidis, Konstantinos Kouskouras, George Giannakoulas, Panagiotis Bamidis, Antonios Billis

JMIR Res Protoc 2025;14:e67697


Effectiveness of the GPT-4o Model in Interpreting Electrocardiogram Images for Cardiac Diagnostics: Diagnostic Accuracy Study

Effectiveness of the GPT-4o Model in Interpreting Electrocardiogram Images for Cardiac Diagnostics: Diagnostic Accuracy Study

Artificial intelligence (AI) in the realm of medicine, including cardiology, has been consistently evolving. A significant recent AI milestone was achieved when a model, specifically Chat GPT by Open AI, successfully passed the European Exam in Core Cardiology [1]. However, this evaluation focused solely on text-based multiple-choice questions, excluding those with audio or visual elements.

Haya Engelstein, Roni Ramon-Gonen, Avi Sabbag, Eyal Klang, Karin Sudri, Michal Cohen-Shelly, Israel Barbash

JMIR AI 2025;4:e74426