Evidence map›Paper›PMID 39163598›Full record

Trial reportJournal of medical Internet research2024

Integrating ChatGPT in Orthopedic Education for Medical Undergraduates: Randomized Controlled Trial.

Wenyi Gan, Jianfeng Ouyang, Hua Li, Zhaowen Xue, Yiming Zhang, Qiu Dong, Jiadong Huang, Xiaofei Zheng, Yiyi Zhang

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 7 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Wenyi Gan *The First Clinical Medical College of Jinan University, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID 0000-0003-1886-8062
Jianfeng Ouyang *Department of Joint Surgery and Sports Medicine, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, Guangdong, China.ORCID 0000-0003-2708-8500
Hua Li *Department of Orthopaedics, Beijing Jishuitan Hospital, Beijing, China.ORCID 0000-0001-8481-0235
Zhaowen Xue *The First Clinical Medical College of Jinan University, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID 0009-0001-5807-9810
Yiming Zhang *The First Clinical Medical College of Jinan University, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID 0000-0003-3366-9790
Qiu DongThe First Clinical Medical College of Jinan University, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID 0000-0002-8904-627X
Jiadong HuangJinan University-University of Birmingham Joint Institute, Jinan University, Guangzhou, China.ORCID 0009-0002-9914-9667
Xiaofei ZhengThe First Clinical Medical College of Jinan University, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID 0000-0001-7502-6131
Yiyi ZhangThe First Clinical Medical College of Jinan University, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID 0009-0001-8507-5794

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChatGPT is a natural language processing model developed by OpenAI, which can be iteratively updated and optimized to accommodate the changing and complex requirements of human verbal communication.

objectiveThe study aimed to evaluate ChatGPT's accuracy in answering orthopedics-related multiple-choice questions (MCQs) and assess its short-term effects as a learning aid through a randomized controlled trial. In addition, long-term effects on student performance in other subjects were measured using final examination results.

methodsWe first evaluated ChatGPT's accuracy in answering MCQs pertaining to orthopedics across various question formats. Then, 129 undergraduate medical students participated in a randomized controlled study in which the ChatGPT group used ChatGPT as a learning tool, while the control group was prohibited from using artificial intelligence software to support learning. Following a 2-week intervention, the 2 groups' understanding of orthopedics was assessed by an orthopedics test, and variations in the 2 groups' performance in other disciplines were noted through a follow-up at the end of the semester.

resultsChatGPT-4.0 answered 1051 orthopedics-related MCQs with a 70.60% (742/1051) accuracy rate, including 71.8% (237/330) accuracy for A1 MCQs, 73.7% (330/448) accuracy for A2 MCQs, 70.2% (92/131) accuracy for A3/4 MCQs, and 58.5% (83/142) accuracy for case analysis MCQs. As of April 7, 2023, a total of 129 individuals participated in the experiment. However, 19 individuals withdrew from the experiment at various phases; thus, as of July 1, 2023, a total of 110 individuals accomplished the trial and completed all follow-up work. After we intervened in the learning style of the students in the short term, the ChatGPT group answered more questions correctly than the control group (ChatGPT group: mean 141.20, SD 26.68; control group: mean 130.80, SD 25.56; P=.04) in the orthopedics test, particularly on A1 (ChatGPT group: mean 46.57, SD 8.52; control group: mean 42.18, SD 9.43; P=.01), A2 (ChatGPT group: mean 60.59, SD 10.58; control group: mean 56.66, SD 9.91; P=.047), and A3/4 MCQs (ChatGPT group: mean 19.57, SD 5.48; control group: mean 16.46, SD 4.58; P=.002). At the end of the semester, we found that the ChatGPT group performed better on final examinations in surgery (ChatGPT group: mean 76.54, SD 9.79; control group: mean 72.54, SD 8.11; P=.02) and obstetrics and gynecology (ChatGPT group: mean 75.98, SD 8.94; control group: mean 72.54, SD 8.66; P=.04) than the control group.

conclusionsChatGPT answers orthopedics-related MCQs accurately, and students using it excel in both short-term and long-term assessments. Our findings strongly support ChatGPT's integration into medical education, enhancing contemporary instructional methods.

trial registrationChinese Clinical Trial Registry Chictr2300071774; https://www.chictr.org.cn/hvshowproject.html ?id=225740&v=1.0.

Indexed as

Education, Medical, UndergraduateGenerative Artificial IntelligenceOrthopedicsEducational MeasurementFemaleHumansMaleNatural Language ProcessingStudents, MedicalYoung Adultartificial intelligenceChatGPTlarge language modellearning aidmedical educationnatural language processingorthopedicsrandomized controlled trial

Identifiers

PMID39163598
PMCPMC11372336

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.