AI Tool Successfully Detects Hard-to-Identify Heart Dysfunction from Standard ECGs
Researchers at Wake Forest University School of Medicine have developed an artificial intelligence model that can identify left ventricular dysfunction and heart failure with preserved ejection fraction from standard ECG readings, including conditions often missed in routine care.
