Condition: Hypertrophic Cardiomyopathy (HCM) · Cardiomyopathy · Genetic Disease · Sponsor: Stanford University
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.
This description comes directly from the study's public registry record.
Jack W O'Sullivan, MBBS, DPhil · +16507367878 · jackos@stanford.edu
Euan A Ashley, BSc, MB ChB, DPhil · +16507367878 · deptmedchair@stanford.edu
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| Stanford | Palo Alto, California, United States | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06935253