Diagnostic Accuracy of GPT-4o and Claude for HEART Score Calculation in Chest Pain

Recruiting now

Conditions studied: Emergency Medicine, Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis, Chest Pain Rule Out Myocardial Infarction

In brief

This prospective observational diagnostic accuracy study evaluates whether large language models (LLMs) - GPT-4o (OpenAI, gpt-4o-2024-11-20) and Claude (Anthropic, claude-sonnet-4-6) - can accurately calculate HEART scores from unstructured Turkish clinical notes and predict 30-day major adverse cardiac events (MACE) in emergency department patients presenting with non-traumatic chest pain. The study will enroll 600 consecutive adult patients. For each patient, the same anonymized data (free-text anamnesis, ECG report text, troponin value, and age) will be independently processed by both LLMs via separate API calls with deterministic settings (temperature=0, JSON format). A three-expert consensus HEART score - derived through blinded independent scoring by three emergency medicine physicians with majority-vote adjudication - serves as the reference standard for agreement analysis. Actual 30-day MACE (all-cause death, AMI Type 1/2/4b, unplanned revascularization) determined via national health database and telephone follow-up serves as the outcome for diagnostic accuracy analysis. A secondary documentation-quality sub-study will quantify how spontaneously Turkish emergency anamnesis notes capture HEART score parameters.

Key facts

Study ID

NCT07626060

Run by

Marmara University Pendik Training and Research Hospital

People needed

690

Starts

2026-06-01

Expected to finish

2027-06-01

Last updated by the study team

2026-06-23

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 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)

You may not qualify if…

• 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 is running

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

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.