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Cardiovascular Digital Health Journal|June 23, 2023
Association of cardiovascular health and risk prediction algorithms with subclinical atherosclerosis identified by carotid ultrasoundRoberto Enrique Azcui Aparicio, Melinda J Carrington, Quan Huynh, et al.
Cardiovascular Digital Health Journal|June 23, 2023
Artificial intelligence-enabled tools in cardiovascular medicine: A survey of current use, perceptions, and challengesAlexander Schepart, Arianna Burton, Larry Durkin, et al.
Cardiovascular Digital Health Journal|August 9, 2022
Detecting early physiologic changes through cardiac implantable electronic device data among patients with COVID-19Meghan Reading Turchioe, Rezwan Ahmed, Ruth Masterson Creber, et al.
Cardiovascular Digital Health Journal|December 27, 2021
Neural networks applied to 12-lead electrocardiograms predict body mass index, visceral adiposity and concurrent cardiometabolic ill-healthXinyang Li, Kiran Haresh Kumar Patel, Lin Sun, et al.
Cardiovascular Digital Health Journal|September 1, 2022
Deep learning on resting electrocardiogram to identify impaired heart rate recoveryNathaniel Diamant, Paolo Di Achille, Lu-Chen Weng, et al.
Cardiovascular Digital Health Journal|September 1, 2022
Assessment of freely available online videos of cardiac electrophysiological procedures from a shared decision-making perspectiveIndiresha Iyer, Amogh Iyer, Pooja Kanthawar, et al.
Cardiovascular Digital Health Journal|March 10, 2022
HRS White Paper on Clinical Utilization of Digital Health TechnologyElaine Y Wan, Hamid Ghanbari, Nazem Akoum, et al.
Cardiovascular Digital Health Journal|March 10, 2022
A comprehensive artificial intelligence-enabled electrocardiogram interpretation programAnthony H Kashou, Wei-Yin Ko, Zachi I Attia, et al.
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