Testing AI language models to help general cardiologists care for heart muscle disease
Tests AI language models helping general cardiologists manage hypertrophic cardiomyopathy cases.
Plain-language title generated from the registry record
Registry title: Large Language Models To Improve the Quality of Care of Cardiology Patients
Key facts
- Where
- Palo Alto, United StatesSee the site
Where in United States
- StanfordPalo Alto, United StatesTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Stanford University
- Trial code
- NCT06935253
- Record updated
- 15 May 2025
- Original description
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.Read full original descriptionShow less
Towards Bridging Generalists to Subspecialists With Large Language Models
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.
Inclusion: Board certified or board eligible Cardiologist.
Exclusion: Not currently practicing clinically.