AI could help family doctors catch hidden heart disease

NCT ID NCT06637293

Not yet recruiting Diagnosis Sponsor: Montreal Heart Institute Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Jun 26, 2026

Summary

This study tests whether an AI platform called DeepECG can help family doctors and nurse practitioners better detect structural heart disease from electrocardiograms. The trial will involve 2,000 patients and use a stepped-wedge design where clinics gradually switch on the AI. The main goal is to see if AI assistance improves the accuracy of referrals to cardiology.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: DeepECG platform (AI software for ECG analysis)
What this could lead to: If successful, this could help family doctors more accurately identify patients who need heart specialist care, reducing missed diagnoses.
What could go wrong: This is an early-stage study testing AI in a controlled setting; real-world performance may vary, and the AI might not improve outcomes for all patients.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for PRIMARY CARE PROVIDER are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

heart disorder

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

PRIMARY CARE PROVIDER STRUCTURAL HEART DISEASE

Contacts and locations

Locations

Montreal Heart Institute

Montreal, Quebec, H1T1C8, Canada

More trials for these conditions

Other studies related to the condition(s) this trial covers.