Recruiting OBSERVATIONAL NCT06699056

AI medical trial: estimating ejection fraction (EF) from a wearable ECG with AI (Peerbridge, heart-failure screening)

Peerbridge Health, Inc Updated 2026-06-01

A multicenter trial by Peerbridge Health validating an investigational AI Software-as-a-Medical-Device that estimates ejection fraction (EF) severity from continuous ECG captured by an FDA-cleared wearable patch, compared against echocardiography.

Trial overview (primary data)

  • StatusRecruiting
  • ConditionsVentricular Ejection Fraction, LVF, LV Dysfunction, Atrial Enlargement, Conduction Defect, Heart Failure, Valvular Heart Disease, Ischemic Heart Disease, Cardiotoxicity, Myocardial Infarction, Dilated Cardiomyopathy, HFrEF - Heart Failure With Reduced Ejection Fraction
  • InterventionsDEVICE: 15-minutes of sitting during COR ECG Acquistion
  • SponsorPeerbridge Health, Inc
  • Target enrollment2,000 participants
  • Period2024-11-21 〜 2027-11-15

Key points

  • Estimates ejection fraction (EF) severity with AI from an FDA-cleared wearable ECG
  • The AI is evaluated as a Software-as-a-Medical-Device (SaMD), benchmarked against echocardiography (TTE)
  • Prospective, multicenter, cluster-randomized; target 2,000 participants
  • Aims to broaden heart-failure screening via inexpensive, everyday ECG + AI
  • Peerbridge Health, 2024–2027, recruiting

Peerbridge Health's trial (NCT06699056) validates the accuracy of medical AI software that estimates the heart's pumping metric, ejection fraction (EF), from a wearable ECG.

Per the registry summary, this is a prospective, multicenter, cluster-randomized controlled study of an investigational AI Software-as-a-Medical-Device (SaMD). The AI analyzes continuous ECG waveform data from the FDA-cleared "Peerbridge COR ECG Wearable Monitor" (an ambulatory patch worn during daily activities) to compute EF severity on the American Society of Echocardiography's 4-category scale. EF severity is determined from a 5-minute ECG recording taken during a 15-minute seated rest, and compared against EF severity from an FDA-cleared non-contrast transthoracic echocardiogram (TTE) predicate. Target enrollment is 2,000; November 2024 – November 2027; recruiting.

EF indicates how well the heart pumps blood and is used to diagnose and classify heart failure. It is usually assessed via echocardiography or cardiac MRI, which require specialized equipment and operators. Estimating severity from an inexpensive, everyday wearable ECG plus AI could broaden early detection and screening for heart failure.

Why it matters

Wearable-plus-AI cardiac screening is a widely watched area. Validating AI as a medical device (SaMD) against an established gold standard (echocardiography) is a useful example for the regulation and deployment of medical AI.

FAQ

What is ejection fraction (EF)?
A measure of how well the heart pumps blood, used to diagnose and grade heart failure. It is usually measured by echocardiography or cardiac MRI.
What is SaMD?
Software as a Medical Device — here the AI software itself is validated as a medical device.

Sources (primary)

Source: ClinicalTrials.gov (U.S. NIH/NLM, public domain). This site does not provide medical advice. Verify the latest and exact details with the official source. This site is not endorsed or certified by the NIH/NLM.

#Medical AI#Clinical trial#ECG#Heart failure#Wearable#SaMD
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