Sociodemographic Bias in Large Language Model–Assisted Gastroenterology
Key Points
Demographic characteristics influence large language model recommendations for gastroenterology cases, suggesting potential bias.
The study highlights how large language model-generated recommendations may vary according to demographic factors.
Quality improvement in gastroenterology practice may require addressing biases introduced by language models.
This analysis aims to improve clinical decision-making by ensuring equitable recommendations across diverse populations.
Abstract
This quality improvement study investigates the association of demographic characteristics with large language model–generated recommendations for simulated gastroenterology clinic cases.