Clinical Research Directory

Large Language Models To Improve the Quality of Care of Cardiology Patients

Sponsor: Stanford University

Summary

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.

Official title: Towards Bridging Generalists to Subspecialists With Large Language Models

Key Details

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Interventions

Locations (1)