Predicting Major Adverse Cardiac Events Using Deep Learning–based Coronary Artery Disease Analysis at CT Angiography

2025/04/09 by Jin Young Kim, Kye Ho Lee, Ji Won Lee +8 · 1 voice · 2 citations
Medicine · #Acute Myocardial Infarction Research #Cardiac Imaging and Diagnostics #Ultrasound in Clinical Applications

paper · doi:10.1148/ryai.240459

openalex publication_date 2025/04/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/22

Abstract

Deep learning–based detection of obstructive coronary artery disease, using coronary CT angiography, predicted major adverse cardiac events in emergency department patients with acute chest pain.

Cited by

• Pixels to Prognosis: Using Deep Learning to Rethink Cardiac Risk Prediction from CT Angiography
• From Futile to Feasible: Improving Assessment of Stenosis in Heavily Calcified Coronary Arteries

Discussions

• #DeepLearning detection of obstructive coronary artery disease predicted major adverse cardiac events in emergency department patients with acute chest pain https://doi.org/10.1148/ryai.240459 #Heart [bsky, 6 points, 0 comments]

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