AI Stethoscope: Stony Brook Doctors Harness AI for Early Heart Disease Detection

AI Enters the Exam Room

Stony Brook University Hospital is bringing artificial intelligence into the outpatient clinic, using the technology to detect early signs of heart disease in patients before symptoms appear. The tool, developed in partnership with Eko Health, integrates AI algorithms into digital stethoscopes. These enhanced devices analyze heart sounds during routine physical exams and can identify subtle abnormalities that might indicate valvular heart disease—a condition that often goes undetected until it’s advanced. Doctors at Stony Brook say the AI-enhanced process adds no extra time for patients but offers a powerful new layer of precision in preventative care.

From Subtle Sounds to Serious Insights

Cardiologists and tech specialists emphasize that traditional stethoscopes rely heavily on clinician experience to interpret faint heart murmurs or irregular rhythms—something even seasoned doctors can miss. The AI platform, however, compares real-time input against a vast dataset of heart sound patterns and known pathologies, instantly flagging concerns for further evaluation. The approach is especially beneficial in primary care settings, where frontline clinicians can get specialized input without waiting for referrals. Stony Brook’s pilot rollout could pave the way for broader adoption, potentially transforming heart screenings across hospitals and clinics nationwide.