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Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray
March 28, 2024, 4:42 a.m. | Guglielmo Gallone, Francesco Iodice, Alberto Presta, Davide Tore, Ovidio de Filippo, Michele Visciano, Carlo Alberto Barbano, Alessandro Serafini, Pao
cs.LG updates on arXiv.org arxiv.org
Abstract: Aims. To develop a deep-learning based system for recognition of subclinical atherosclerosis on a plain frontal chest x-ray. Methods and Results. A deep-learning algorithm to predict coronary artery calcium (CAC) score (the AI-CAC model) was developed on 460 chest x-ray (80% training cohort, 20% internal validation cohort) of primary prevention patients (58.4% male, median age 63 [51-74] years) with available paired chest x-ray and chest computed tomography (CT) indicated for any clinical reason and performed …
abstract algorithm arxiv cac cs.ai cs.cv cs.lg deep learning detection image ray recognition results training type x-ray
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