AI could help family doctors catch hidden heart disease

NCT ID NCT06637293

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.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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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.

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Montreal Heart Institute

    Montreal, Quebec, H1T1C8, Canada

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact