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

Recruiting N/A Interventional Study
Hypertrophic Cardiomyopathy (HCM) Cardiomyopathy Genetic Disease Cardiology
No Placebo Group Every participant receives an active treatment — no one gets a placebo.
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At a Glance
Age
18 and older
Sex
Any
Study type
Interventional
Purpose
Supportive Care
Participants needed
12 (estimated)
Sponsor
Stanford University · Other
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About This Trial
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 su…
Trial Locations
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Eligibility Criteria
Inclusion Criteria: * Board certified or board eligible Cardiologist. Exclusion Criteria: * Not currently practicing clinically
Contacts

Jack W O'Sullivan, MBBS, DPhil

+16507367878

jackos@stanford.edu

CONTACT

Euan A Ashley, BSc, MB ChB, DPhil

+16507367878

deptmedchair@stanford.edu

CONTACT