AI Medical Compendium Journal:
Mayo Clinic proceedings. Digital health

Showing 1 to 9 of 9 articles

Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses From Closed-Domain Large Language Models Versus Clinical Teams.

Mayo Clinic proceedings. Digital health
OBJECTIVE: To evaluate the effectiveness of RadOnc-generative pretrained transformer (GPT), a GPT-4 based large language model, in assisting with in-basket message response generation for prostate cancer treatment, with the goal of reducing the workl...

The Development and Performance of a Machine-Learning Based Mobile Platform for Visually Determining the Etiology of 5 Penile Diseases.

Mayo Clinic proceedings. Digital health
OBJECTIVE: To develop a machine-learning visual classification algorithm for penile diseases in order to address disparities in access to sexual health services.

Inherent Bias in Large Language Models: A Random Sampling Analysis.

Mayo Clinic proceedings. Digital health
There are mounting concerns regarding inherent bias, safety, and tendency toward misinformation of large language models (LLMs), which could have significant implications in health care. This study sought to determine whether generative artificial in...

Integrating Clinical Guidelines With ChatGPT-4 Enhances Its' Skills.

Mayo Clinic proceedings. Digital health
Navigating clinical guidelines can be complex for real-time health care decision making. Our study evaluates the chat generative prerained transformer (ChatGPT)-4 in improving responses to clinical questions by integrating guidelines on infection an...