Artificial Intelligence-enhanced Electrocardiography for Heart Failure Screening and Risk Stratification

Curr Heart Fail Rep. 2026 Mar 16;23(1):10. doi: 10.1007/s11897-026-00748-x.

Lovedeep S Dhingra^{1

2}, Philip M Croon^{1

2}, Bruno Batinica^{1

2}, Arya Aminorroaya^{1

2}, Aline F Pedroso^{1

2}, Rohan Khera^{3

4

5

6

7}

¹ Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
² Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA.
³ Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA. rohan.khera@yale.edu.
⁴ Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA. rohan.khera@yale.edu.
⁵ Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, CT, USA. rohan.khera@yale.edu.
⁶ Department of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, USA. rohan.khera@yale.edu.
⁷ Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, CT, New Haven, USA. rohan.khera@yale.edu.

No abstract available

Keywords: Artificial Intelligence; Deep Learning; Electrocardiography; Heart Failure; Risk Stratification; Wearables.

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