Clinical Trial

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

Recruiting
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Record status
This record was last updated May 15, 2025 (before its estimated November 2025 completion). Its status may not reflect the trial's current state.
Summary
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.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2025-04-17.
Trial Details
NCT Number NCT06935253
Lead Sponsor Stanford University
Collaborators: Google LLC.
Conditions Hypertrophic Cardiomyopathy (HCM), Cardiomyopathy, Genetic Disease, Cardiology
Enrollment 12 participants
Start Date 2025-01-10
Primary Completion 2025-11 (estimated)
Study Completion 2025-12 (estimated)
Updated on ClinicalTrials.gov 2025-05-15