Home › Hypertrophic Cardiomyopathy › NCT06935253
Large Language Models To Improve the Quality of Care of Cardiology Patients
Towards Bridging Generalists to Subspecialists With Large Language Models
Who can join
Ages 18 and older · All sexes
Full eligibility criteria
Inclusion Criteria: * Board certified or board eligible Cardiologist. Exclusion Criteria: * Not currently practicing clinically
About the study
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.
What is being tested
- Large Language Model (other)
Sponsor: Stanford University · Participants: 12 · Started: Jan 10, 2025
Contact the study team
- Jack W O'Sullivan, MBBS, DPhil · Phone: +16507367878
- Euan A Ashley, BSc, MB ChB, DPhil · Phone: +16507367878
Official record on ClinicalTrials.gov — NCT06935253
Locations in the U.S.
| California | Stanford, Palo Alto |
Conditions
From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.