Clinical trial Recruiting at 1 site Observational Ages 18 and up

Heart score calculator test using GPT-4o and Claude in chest pain patients

Official title: Diagnostic Accuracy of Large Language Models (GPT-4o and Claude) in HEART Score Calculation and 30-Day MACE Prediction in Emergency Department Chest Pain Patients: A Prospective Observational Validation Study Against Three-Expert Consensus

Run by Marmara University Pendik Training and Research Hospital · NCT07626060 · Data updated 2026-11-12

This study tests whether two large language models can calculate HEART scores from patient notes and predict 30-day adverse heart events in adults with chest pain in the emergency department.

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Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment690 (estimated)
SponsorMarmara University Pendik Training and Research Hospital
Academic / other
Locations1 site (Istanbul, Istanbul)
StatusRecruiting
StartedJune 2026
Main results expectedMarch 2027
Study endsJune 2027
Registry record updatedJune 23, 2026
Trial IDNCT07626060 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults (18+) with non-traumatic chest pain at the emergency department who consent and can be followed for 30 days.

Probably not a fit

Patients with incomplete follow-up or presentations not meeting chest pain criteria may not benefit.

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

What this trial studies

In this prospective observational study, researchers will apply GPT-4o and Claude to anonymized, unstructured patient notes to generate HEART scores and forecast 30-day major adverse cardiac events. Each patient’s data (free-text history, ECG report text, troponin, and age) are processed independently by both models with fixed, deterministic settings. The model-derived HEART scores are compared against a three-expert consensus HEART score as the reference standard, with majority voting used for component-level scoring and a fourth adjudicator for any complete disagreement. The study plans to enroll 600 adult patients presenting with non-traumatic chest pain at a Turkish emergency department, with strict blinding between LLM outputs and the reference and outcome assessments.

Why it matters

Potential benefit: If successful, the approach could streamline risk stratification in emergency departments by providing rapid HEART score estimates from clinical notes.

How similar studies have gone: Prior work has shown promise in using AI to support diagnostic scoring, but prospective, blinded accuracy in this specific HEART-score context is novel.

Who can join: the full rules

Show full inclusion / exclusion criteria
INCLUSION CRITERIA:

* Age \>=18 years
* Chief complaint of non-traumatic chest pain at the emergency department
* Written informed consent obtained from the patient or legally authorized representative
* Availability for 30-day follow-up (reachable by telephone and/or actively registered in the e-Nabiz national health database)

EXCLUSION CRITERIA:

* Traumatic chest pain etiology
* ST-elevation myocardial infarction (STEMI) at presentation requiring immediate reperfusion protocol
* Refusal or subsequent withdrawal of informed consent
* Inability to complete the mandatory 30-day follow-up period

WITHDRAWAL CRITERIA:

* Patient or representative requests data withdrawal after initial consent
* Administrative identification of retrospective data entry after enrollment

Where it's running

  • Marmara University Pendik Training and Research Hospital
    Istanbul, Istanbul, Turkey (Türkiye)
    Recruiting

Study contacts

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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.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.