ChatGPT, Bard, and Bing Chat Are Large Language Processing Models That Answered Orthopaedic In‐Training Examination Questions With Similar Accuracy to First‐Year Orthopaedic Surgery Residents

骨科手术 医学 医学物理学 普通外科 计算机科学 外科 医学教育
作者
Gage Guerra,Hayden L. Hofmann,Jonathan L. Le,Alexander Wong,Amir Fathi,Cory K. Mayfield,Frank A. Petrigliano,Joseph N. Liu
出处
期刊:Arthroscopy [Elsevier BV]
卷期号:41 (3): 557-562 被引量:14
标识
DOI:10.1016/j.arthro.2024.08.023
摘要

PURPOSE: To assess ChatGPT's, Bard's, and Bing Chat's ability to generate accurate orthopaedic diagnoses or corresponding treatments by comparing their performance on the Orthopaedic In-Training Examination (OITE) with that of orthopaedic trainees. METHODS: OITE question sets from 2021 and 2022 were compiled to form a large set of 420 questions. ChatGPT (GPT-3.5), Bard, and Bing Chat were instructed to select one of the provided responses to each question. The accuracy of composite questions was recorded and comparatively analyzed to human cohorts including medical students and orthopaedic residents, stratified by postgraduate year (PGY). RESULTS: ChatGPT correctly answered 46.3% of composite questions whereas Bing Chat correctly answered 52.4% of questions and Bard correctly answered 51.4% of questions on the OITE. When image-associated questions were excluded, ChatGPT's, Bing Chat's, and Bard's overall accuracies improved to 49.1%, 53.5%, and 56.8%, respectively. Medical students correctly answered 30.8%, and PGY-1, -2, -3, -4, and -5 orthopaedic residents correctly answered 53.1%, 60.4%, 66.6%, 70.0%, and 71.9%, respectively. CONCLUSIONS: ChatGPT, Bard, and Bing Chat are artificial intelligence (AI) models that answered OITE questions with accuracy similar to that of first-year orthopaedic surgery residents. ChatGPT, Bard, and Bing Chat achieved this result without using images or other supplementary media that human test takers are provided. CLINICAL RELEVANCE: Our comparative performance analysis of AI models on orthopaedic board-style questions highlights ChatGPT's, Bing Chat's, and Bard's clinical knowledge and proficiency. Our analysis establishes a baseline of AI model proficiency in the field of orthopaedics and provides a comparative marker for future, more advanced deep learning models. Although in its elementary phase, future AI models' orthopaedic knowledge may provide clinical support and serve as an educational tool.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
还好i发布了新的文献求助10
刚刚
mirandaaa应助LX采纳,获得10
刚刚
Marksman497发布了新的文献求助10
1秒前
snowdump发布了新的文献求助10
1秒前
2秒前
仁爱的尔安完成签到 ,获得积分20
2秒前
核桃发布了新的文献求助10
2秒前
3秒前
3秒前
gxh66完成签到,获得积分10
3秒前
札楠完成签到 ,获得积分10
4秒前
典雅井完成签到 ,获得积分10
5秒前
6秒前
7秒前
Marksman497发布了新的文献求助10
7秒前
JamesPei应助迅速的蜗牛采纳,获得10
7秒前
Ad14完成签到,获得积分10
7秒前
EwhenQ完成签到,获得积分10
7秒前
8秒前
秦彧玺发布了新的文献求助10
8秒前
京墨天一完成签到,获得积分10
9秒前
9秒前
动听的无声完成签到,获得积分10
10秒前
Marksman497发布了新的文献求助10
10秒前
24完成签到,获得积分20
11秒前
11秒前
12秒前
在水一方应助科研通管家采纳,获得10
12秒前
脑洞疼应助科研通管家采纳,获得10
12秒前
淡定雍完成签到,获得积分10
12秒前
呱呱发布了新的文献求助10
12秒前
上官若男应助科研通管家采纳,获得10
13秒前
顾矜应助科研通管家采纳,获得10
13秒前
爆米花应助科研通管家采纳,获得10
13秒前
Ava应助科研通管家采纳,获得10
13秒前
打打应助科研通管家采纳,获得10
13秒前
13秒前
充电宝应助科研通管家采纳,获得10
14秒前
菜狗应助科研通管家采纳,获得10
14秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7755863
求助须知:如何正确求助?哪些是违规求助? 9302345
关于积分的说明 20268773
捐赠科研通 7338944
什么是DOI,文献DOI怎么找? 3311330
关于科研通互助平台的介绍 2462344
邀请新用户注册赠送积分活动 2324746