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Artificial intelligence–enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial

Xiaoxi Yao, David Rushlow, Jonathan Inselman, Rozalina G. McCoy, Tom D. Thacher, Emma Behnken, Matthew Bernard, Steven Rosas, Abdulla Akfaly, Artika Misra, Paul Molling, Joseph Krien, Randy Foss, Barbara Barry, Konstantinos C. Siontis, Suraj Kapa, Patricia A. Pellikka, Francisco López-Jiménez, Zachi I. Attia, Nilay D. Shah, Paul A. Friedman, Peter A. Noseworthy

2021Nature Medicine395 citationsDOI

Topics & Concepts

MedicineEjection fractionCohortRandomized controlled trialClinical endpointOdds ratioIntervention (counseling)Heart failureClinical trialCohort studyInternal medicinePhysical therapyEmergency medicinePsychiatryBlood Pressure and Hypertension StudiesHeart Failure Treatment and ManagementCardiovascular Function and Risk Factors
Artificial intelligence–enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial | Litcius