What this study is
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's being tested
- Large Language Model
Intervention · OTHER
The intervention is a Large Language Model.
Study details
- Official title
- Towards Bridging Generalists to Subspecialists With Large Language Models
- Sponsor
- Stanford University
- Conditions
- Hypertrophic Cardiomyopathy (HCM) · Cardiomyopathy · Genetic Disease · Cardiology
- Enrolling
- 12 people
- Starts
- 2025-01-10
- Est. completion
- 2025-12
- Design
- Single-blind, randomized, parallel groups
- Record
- View on ClinicalTrials.gov ↗
Who can join
Age 18 Years and overSex ALLHealthy volunteers Not acceptedYou may qualify if
- Board certified or board eligible Cardiologist.
You can't join if
- Not currently practicing clinically
Sign in and we'll check these against your records.Full criteria on ClinicalTrials.gov ↗
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Study locations (1)
1 openStanford
Palo Alto, California, United States
- Jack W O'Sullivan, MD, PhD · Contact6503009129jackos@stanford.edu
- Euan A Ashley, MD, PhD · Contact650-736-7878euan@stanford.edu
- Euan A Ashley, MD, PhD · Principal investigator
- Jack W O'Sullivan, MD, PhD · Sub-investigator
Recruiting
Study team
Sponsor
Stanford University
Study ID 78695
Principal investigator
Euan A Ashley, BSc, MB ChB, DPhil
Stanford University
Frequently asked questions
The sponsor hasn't published answers to common questions for this trial.