Is artificial intelligence successful in the Turkish neurology board exam?

IF 1.7 4区 医学 Q3 CLINICAL NEUROLOGY Neurological Research Pub Date : 2025-03-20 DOI:10.1080/01616412.2025.2481444
Ayse Betul Acar, Ece Yanik, Emine Altin, Ozlem Kurtkaya Kocak
{"title":"Is artificial intelligence successful in the Turkish neurology board exam?","authors":"Ayse Betul Acar, Ece Yanik, Emine Altin, Ozlem Kurtkaya Kocak","doi":"10.1080/01616412.2025.2481444","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>OpenAI declared that GPT-4 performed better in academic and certain specialty areas. Medical licensing exams assess the clinical competence of doctors. We aimed to investigate for the first time howChatGPT will perform in the Turkish Neurology Proficiency Exam.</p><p><strong>Methods: </strong>TheGPT-4 version of ChatGPT was used in the study due to the presence ofimage-based questions. The multiple-choice sections of the TurkishNeurology Proficiency Exams conducted by the Turkish NeurologyAssociation (TND) in 2021, 2022 and 2023 were applied to ChatGPT-4.Questions and multiple-choice answers were used in their originalTurkish forms in the official national examination standards.</p><p><strong>Results: </strong>The success rate in all three exams ranges from 79% to 82%. There were common and different mistakes in the two trials. When the incorrect answers were re-evaluated, the correct answers were obtained.</p><p><strong>Conclusions: </strong>This is the first study to investigate the performance of ChatGPT on the real Neurology Proficiency Examination. The success rate was shown to be above GPT-3.5. Furthermore, this study showed that translating questions from the original language into English did not affect the performance of GPT-4 in medical licensing exams, unlike GPT-3.5. It is therefore very important that the information obtained is accurate and verifiable. ChatGPT-4's ability to find the correct answer with feedback on questions that it initially answered incorrectly may be due to the model's ability to generate flexible and adaptive answers.These models should be used carefully and consciously, knowing that they will not always give the correct answer.</p>","PeriodicalId":19131,"journal":{"name":"Neurological Research","volume":" ","pages":"1-4"},"PeriodicalIF":1.7000,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neurological Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/01616412.2025.2481444","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objectives: OpenAI declared that GPT-4 performed better in academic and certain specialty areas. Medical licensing exams assess the clinical competence of doctors. We aimed to investigate for the first time howChatGPT will perform in the Turkish Neurology Proficiency Exam.

Methods: TheGPT-4 version of ChatGPT was used in the study due to the presence ofimage-based questions. The multiple-choice sections of the TurkishNeurology Proficiency Exams conducted by the Turkish NeurologyAssociation (TND) in 2021, 2022 and 2023 were applied to ChatGPT-4.Questions and multiple-choice answers were used in their originalTurkish forms in the official national examination standards.

Results: The success rate in all three exams ranges from 79% to 82%. There were common and different mistakes in the two trials. When the incorrect answers were re-evaluated, the correct answers were obtained.

Conclusions: This is the first study to investigate the performance of ChatGPT on the real Neurology Proficiency Examination. The success rate was shown to be above GPT-3.5. Furthermore, this study showed that translating questions from the original language into English did not affect the performance of GPT-4 in medical licensing exams, unlike GPT-3.5. It is therefore very important that the information obtained is accurate and verifiable. ChatGPT-4's ability to find the correct answer with feedback on questions that it initially answered incorrectly may be due to the model's ability to generate flexible and adaptive answers.These models should be used carefully and consciously, knowing that they will not always give the correct answer.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Neurological Research
Neurological Research 医学-临床神经学
CiteScore
3.60
自引率
0.00%
发文量
116
审稿时长
5.3 months
期刊介绍: Neurological Research is an international, peer-reviewed journal for reporting both basic and clinical research in the fields of neurosurgery, neurology, neuroengineering and neurosciences. It provides a medium for those who recognize the wider implications of their work and who wish to be informed of the relevant experience of others in related and more distant fields. The scope of the journal includes: •Stem cell applications •Molecular neuroscience •Neuropharmacology •Neuroradiology •Neurochemistry •Biomathematical models •Endovascular neurosurgery •Innovation in neurosurgery.
期刊最新文献
Relationship between sympathetic skin response and RR interval variation with the prognosis of Guillain-Barre syndrome patients. Is artificial intelligence successful in the Turkish neurology board exam? Six-spot step test under three different task conditions to assess dual-task ability in people with multiple sclerosis. Long-term effects of various exercise training modalities on balance, gait and fatigue in patients with multiple sclerosis: a randomized controlled study. The relationship between serum GDF15 levels and non-motor symptoms in Parkinson's disease.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1