(Reproduced with permission from NEJM AI, Lampert, 2025. Copyright 2025 Massachusetts Medical Society)
Mount Sinai-led research can transform how hospitals triage, risk-stratify, and counsel patients to save lives
Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an artificial intelligence (AI) algorithm to quickly and more specifically identify patients with the condition and flag them as high risk for greater attention during doctor’s appointments.
The algorithm, known as Viz HCM, had previously been approved by the Food and Drug Administration for the detection of HCM on an electrocardiogram (ECG). The Mount Sinai study, published April 22 in the journal NEJM AI, assigns numeric probabilities to the algorithm’s findings.