AI could help ER doctors spot heart attacks faster

NCT ID NCT07235657

Not yet recruiting Diagnosis Sponsor: Yonsei University Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tests whether an artificial intelligence (AI) tool can help emergency room doctors interpret heart CT scans more accurately. About 530 adults with chest pain and intermediate risk of a heart attack will be randomly assigned to have their scans read with or without AI assistance. The goal is to see if the AI tool improves the doctors' ability to correctly rule out serious coronary artery disease.

What this could mean

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

Active substance: AI-based coronary CT interpretation software (Angiomics)
What this could lead to: If successful, this AI tool could help emergency doctors diagnose heart attacks more accurately and quickly, especially when radiologists are not available.
What could go wrong: This is a relatively early-stage trial testing a tool in a controlled setting. The AI may not improve accuracy in real-world practice, and results may not apply to all hospitals or patient groups.

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.

acute coronary syndrome Chest Pain coronary artery disorder Emergencies

As listed by the trial registrant

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

ACUTE CORONARY SYNDROME CHEST PAIN CORONARY ARTERY DISEASE

Contacts and locations

Locations

Yonsei University College of Medicine, Yonsei University Severance Hospital

Seoul, South Korea

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