Using AI to enhance cardiology patient care

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

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.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Board certified or board eligible Cardiologist.

Exclusion Criteria:

* Not currently practicing clinically

Where it's running

• 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

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.