AI-assisted interpretation of chest pain CT in the emergency department

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This prospective study compares AI-assisted CCTA interpretation to standard interpretation without AI in emergency department patients with acute chest pain and intermediate risk. It aims to measure diagnostic performance, physician confidence, and decision-making impact. The trial uses real-world ED workflow to assess how AI support influences speed and accuracy of ACS assessment. Eligible adults are 18 years or older with chest pain, intermediate HEART score, and a CCTA ordered by their clinician. Outcomes include diagnostic accuracy, confidence levels, and changes in clinical management.

Why it matters

Who can join: the full rules

Inclusion Criteria:

Adults aged 18 years or older Patients presenting to the emergency department with acute chest pain or chest discomfort Patients assessed as intermediate risk (Heart Score 4-6) Patients for whom CCTA was ordered by the treating physician as part of routine clinical care

Exclusion Criteria:

Prior history of coronary revascularization (coronary artery bypass graft surgery or stent placement) Presence of intracardiac metallic devices such as pacemaker or prosthetic heart valves Contraindications to contrast media (e.g., contrast allergy, severe renal impairment with eGFR \< 30 mL/min/1.73 m²) Patients unable to cooperate (e.g., severe anxiety, non-cooperation) Non-diagnostic CCTA images are identified after image acquisition and handled according to the protocol-defined analysis exclusions.

Where it's running

• Yonsei University College of Medicine, Yonsei University Severance Hospital
  Seoul, South Korea Recruiting

Study contacts

• Study coordinator: arom choi, MD
• Email: aromchoi@yuhs.ac
• Phone: +82-2-2228-2465

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.