Actively Recruiting
Large Language Models To Improve the Quality of Care of Cardiology Patients
Led by Stanford University · Updated on 2025-05-15
12
Participants Needed
1
Research Sites
46 weeks
Total Duration
On this page
Sponsors
S
Stanford University
Lead Sponsor
G
Google LLC.
Collaborating Sponsor
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Large Language Models To Improve the Quality of Care of Cardiology Patients
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Board certified or board eligible Cardiologist
You will not qualify if you...
- Not currently practicing clinically
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Stanford
Palo Alto, California, United States, 94303
Actively Recruiting
Research Team
J
Jack W O'Sullivan, MBBS, DPhil
CONTACT
E
Euan A Ashley, BSc, MB ChB, DPhil
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
SINGLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
SUPPORTIVE_CARE
Number of Arms
2
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