Using AI to enhance cardiology patient care
Towards Bridging Generalists to Subspecialists With Large Language Models
This study is testing if using AI tools can help cardiologists make better decisions when treating patients with heart conditions compared to traditional methods.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 12 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Stanford University Academic / other |
| Locations | 1 site (Palo Alto, California) |
| Trial ID | NCT06935253 on ClinicalTrials.gov |
What this trial studies
This study evaluates the effectiveness of large language models (LLMs) compared to traditional decision support tools in improving clinical decision-making for cardiology patients. General cardiologists will be randomly assigned to manage real patient cases from a cardiovascular genetic cardiomyopathy clinic, either with or without AI assistance. Each case will be assessed by two cardiologists, and their decisions will be graded by blinded subspecialty experts using a standardized evaluation rubric. The goal is to determine if LLMs can enhance the management of complex patients and improve triage to specialists.
Who should consider this trial
Good fit: Ideal candidates for this study are board certified or board eligible cardiologists currently practicing clinically.
Not a fit: Patients who are not currently receiving care from a cardiologist or those with conditions outside the scope of cardiology may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could significantly enhance the quality of care for cardiology patients by improving clinical decision-making.
How similar studies have performed: While large language models have shown promise in simulated healthcare settings, this study represents a novel approach to evaluating their impact in real-world clinical decision-making.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Board certified or board eligible Cardiologist. Exclusion Criteria: * Not currently practicing clinically
Where this trial is running
Palo Alto, California
- Stanford — Palo Alto, California, United States (Recruiting)
Study contacts
- Principal investigator: Euan A Ashley, BSc, MB ChB, DPhil — Stanford University
- Study coordinator: Jack W O'Sullivan, MBBS, DPhil
- Email: jackos@stanford.edu
- Phone: +16507367878
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.