Assessing Biases in Medical Decisions via Clinician and AI Chatbot Responses to Patient Vignettes-Reference-Cited by-同舟云学术

Assessing Biases in Medical Decisions via Clinician and AI Chatbot Responses to Patient Vignettes

Published:2023-10-17 Issue:10 Volume:6 Page:e2338050
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Kim Jiyeong¹²,Cai Zhuo Ran¹²,Chen Michael L.¹²,Simard Julia F.³,Linos Eleni¹³²

Affiliation:

1. Center for Digital Health, Department of Medicine, Stanford University School of Medicine, Stanford, California

2. Department of Dermatology, Stanford University School of Medicine, Stanford, California

3. Department of Epidemiology, Stanford University School of Medicine, Stanford, California

Abstract

This cross-sectional study compares clinician and artificial intelligence (AI) chatbot responses to patient vignettes used to identify bias in medical decisions.

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2810775/kim_2023_ld_230191_1696951660.74663.pdf

Reference5 articles.

1. Dissecting racial bias in an algorithm used to manage the health of populations.;Obermeyer;Science,2019

2. Benefits, limits, and risks of GPT-4 as an AI chatbot for medicine.;Lee;N Engl J Med,2023

3. Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models.;Kung;PLOS Digit Health,2023

4. Comparing physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum.;Ayers;JAMA Intern Med,2023

5. Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in underserved patient populations.;Seyyed-Kalantari;Nat Med,2021

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessment of Correctness, Content Omission, and Risk of Harm in Large Language Model Responses to Dermatology Continuing Medical Education Questions;Journal of Investigative Dermatology;2024-08

2. Readability and Information Quality in Cancer Information From a Free vs Paid Chatbot;JAMA Network Open;2024-07-26

3. Large language models outperform mental and medical health care professionals in identifying obsessive-compulsive disorder;npj Digital Medicine;2024-07-19

4. Performance of ChatGPT-4 and Bard chatbots in responding to common patient questions on prostate cancer 177Lu-PSMA-617 therapy;Frontiers in Oncology;2024-07-12

5. Could Freely Available Artificial Intelligence Chatbots Simulate a Multidisciplinary Workshop to More Efficiently Cogenerate Ideas?;JOSPT Open;2024-07