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Large Language Models To Improve the Quality of Care of Cardiology Patients

RecruitingNAAges 18 Years - anyAllStanford University
NCT06935253 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

This study evaluates the impact of large language models (LLMs) versus traditional decision support tools on clinical decision-making in cardiology. General cardiologists will be randomized to manage real patient cases from a cardiovascular genetic cardiomyopathy clinic, with or without AI assistance. Each case will be assessed by two cardiologists, and their responses will be graded by blinded subspecialty experts using a standardized evaluation rubric.

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📋 Eligibility rules (as published)
Inclusion Criteria: * Board certified or board eligible Cardiologist. Exclusion Criteria: * Not currently practicing clinically
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What it tests

  • Large Language Model
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Where

1 site
Stanford
Palo Alto, United States
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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