AI to decode heart recovery: study aims to personalize cardiac rehab

NCT ID NCT05461729

Recruiting now Knowledge-focused Sponsor: Dr. Boris Schmitz Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is enrolling 1,200 people with coronary artery disease who are starting cardiac rehab. Researchers will collect detailed health data, including fitness tests, activity tracker steps, and long-term heart monitoring, to train artificial intelligence models. The goal is to identify which factors predict a successful recovery and lower risk of future heart problems, ultimately helping doctors tailor rehab programs to each patient.

What this could mean

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

What this could lead to: If successful, this could help doctors personalize cardiac rehab programs for heart disease patients, improving recovery and reducing future heart attacks or strokes.
What could go wrong: This is an observational study, not a treatment trial. It collects data to build prediction models, so it won't directly change patient care until the models are tested in future trials.

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

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Conditions

The condition(s) this trial relates to.

coronary artery disorder

As listed by the trial registrant

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

CORONARY ARTERY DISEASE

Contacts and locations

Locations

Klinik Königsfeld
RECRUITING

Ennepetal, North Rhine-Westphalia, 58256, Germany

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