创新牙科诊断:ChatGPT 对诊断挑战的准确性。

IF 2.9 3区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE Oral diseases Pub Date : 2024-07-22 DOI:10.1111/odi.15082
Arman Danesh, Arsalan Danesh, Farzad Danesh
{"title":"创新牙科诊断:ChatGPT 对诊断挑战的准确性。","authors":"Arman Danesh, Arsalan Danesh, Farzad Danesh","doi":"10.1111/odi.15082","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Complex patient diagnoses in dentistry require a multifaceted approach which combines interpretations of clinical observations with an in-depth understanding of patient history and presenting problems. The present study aims to elucidate the implications of ChatGPT (OpenAI) as a comprehensive diagnostic tool in the dental clinic through examining the chatbot's diagnostic performance on challenging patient cases retrieved from the literature.</p><p><strong>Methods: </strong>Our study subjected ChatGPT3.5 and ChatGPT4 to descriptions of patient cases for diagnostic challenges retrieved from the literature. Sample means were compared using a two-tailed t-test, while sample proportions were compared using a two-tailed χ<sup>2</sup> test. A p-value below the threshold of 0.05 was deemed statistically significant.</p><p><strong>Results: </strong>When prompted to generate their own differential diagnoses, ChatGPT3.5 and ChatGPT4 achieved a diagnostic accuracy of 40% and 62%, respectively. When basing their diagnostic processes on a differential diagnosis retrieved from the literature, ChatGPT3.5 and ChatGPT4 achieved a diagnostic accuracy of 70% and 80%, respectively.</p><p><strong>Conclusion: </strong>ChatGPT displays an impressive capacity to correctly diagnose complex diagnostic challenges in the field of dentistry. Our study paints a promising potential for the chatbot to 1 day serve as a comprehensive diagnostic tool in the dental clinic.</p>","PeriodicalId":19615,"journal":{"name":"Oral diseases","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Innovating dental diagnostics: ChatGPT's accuracy on diagnostic challenges.\",\"authors\":\"Arman Danesh, Arsalan Danesh, Farzad Danesh\",\"doi\":\"10.1111/odi.15082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Complex patient diagnoses in dentistry require a multifaceted approach which combines interpretations of clinical observations with an in-depth understanding of patient history and presenting problems. The present study aims to elucidate the implications of ChatGPT (OpenAI) as a comprehensive diagnostic tool in the dental clinic through examining the chatbot's diagnostic performance on challenging patient cases retrieved from the literature.</p><p><strong>Methods: </strong>Our study subjected ChatGPT3.5 and ChatGPT4 to descriptions of patient cases for diagnostic challenges retrieved from the literature. Sample means were compared using a two-tailed t-test, while sample proportions were compared using a two-tailed χ<sup>2</sup> test. A p-value below the threshold of 0.05 was deemed statistically significant.</p><p><strong>Results: </strong>When prompted to generate their own differential diagnoses, ChatGPT3.5 and ChatGPT4 achieved a diagnostic accuracy of 40% and 62%, respectively. When basing their diagnostic processes on a differential diagnosis retrieved from the literature, ChatGPT3.5 and ChatGPT4 achieved a diagnostic accuracy of 70% and 80%, respectively.</p><p><strong>Conclusion: </strong>ChatGPT displays an impressive capacity to correctly diagnose complex diagnostic challenges in the field of dentistry. Our study paints a promising potential for the chatbot to 1 day serve as a comprehensive diagnostic tool in the dental clinic.</p>\",\"PeriodicalId\":19615,\"journal\":{\"name\":\"Oral diseases\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Oral diseases\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/odi.15082\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DENTISTRY, ORAL SURGERY & MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oral diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/odi.15082","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0

摘要

导言:牙科中复杂的患者诊断需要多方面的方法,既要解释临床观察结果,又要深入了解患者病史和存在的问题。本研究旨在通过检查聊天机器人对从文献中检索到的具有挑战性的患者病例的诊断表现,阐明 ChatGPT(OpenAI)作为牙科诊所综合诊断工具的意义:我们的研究让 ChatGPT3.5 和 ChatGPT4 对从文献中检索到的具有诊断挑战性的患者病例进行描述。样本均值的比较采用双尾 t 检验,样本比例的比较采用双尾 χ2 检验。低于 0.05 临界值的 p 值被视为具有统计学意义:结果:当被要求自行进行鉴别诊断时,ChatGPT3.5 和 ChatGPT4 的诊断准确率分别为 40% 和 62%。当根据从文献中检索到的鉴别诊断结果进行诊断时,ChatGPT3.5 和 ChatGPT4 的诊断准确率分别为 70% 和 80%:结论:ChatGPT 在正确诊断牙科领域复杂的诊断难题方面表现出令人印象深刻的能力。我们的研究为有朝一日聊天机器人成为牙科诊所的综合诊断工具描绘了美好的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Innovating dental diagnostics: ChatGPT's accuracy on diagnostic challenges.

Introduction: Complex patient diagnoses in dentistry require a multifaceted approach which combines interpretations of clinical observations with an in-depth understanding of patient history and presenting problems. The present study aims to elucidate the implications of ChatGPT (OpenAI) as a comprehensive diagnostic tool in the dental clinic through examining the chatbot's diagnostic performance on challenging patient cases retrieved from the literature.

Methods: Our study subjected ChatGPT3.5 and ChatGPT4 to descriptions of patient cases for diagnostic challenges retrieved from the literature. Sample means were compared using a two-tailed t-test, while sample proportions were compared using a two-tailed χ2 test. A p-value below the threshold of 0.05 was deemed statistically significant.

Results: When prompted to generate their own differential diagnoses, ChatGPT3.5 and ChatGPT4 achieved a diagnostic accuracy of 40% and 62%, respectively. When basing their diagnostic processes on a differential diagnosis retrieved from the literature, ChatGPT3.5 and ChatGPT4 achieved a diagnostic accuracy of 70% and 80%, respectively.

Conclusion: ChatGPT displays an impressive capacity to correctly diagnose complex diagnostic challenges in the field of dentistry. Our study paints a promising potential for the chatbot to 1 day serve as a comprehensive diagnostic tool in the dental clinic.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Oral diseases
Oral diseases 医学-牙科与口腔外科
CiteScore
7.60
自引率
5.30%
发文量
325
审稿时长
4-8 weeks
期刊介绍: Oral Diseases is a multidisciplinary and international journal with a focus on head and neck disorders, edited by leaders in the field, Professor Giovanni Lodi (Editor-in-Chief, Milan, Italy), Professor Stefano Petti (Deputy Editor, Rome, Italy) and Associate Professor Gulshan Sunavala-Dossabhoy (Deputy Editor, Shreveport, LA, USA). The journal is pre-eminent in oral medicine. Oral Diseases specifically strives to link often-isolated areas of dentistry and medicine through broad-based scholarship that includes well-designed and controlled clinical research, analytical epidemiology, and the translation of basic science in pre-clinical studies. The journal typically publishes articles relevant to many related medical specialties including especially dermatology, gastroenterology, hematology, immunology, infectious diseases, neuropsychiatry, oncology and otolaryngology. The essential requirement is that all submitted research is hypothesis-driven, with significant positive and negative results both welcomed. Equal publication emphasis is placed on etiology, pathogenesis, diagnosis, prevention and treatment.
期刊最新文献
Authors' reply “Osteoradionecrosis incidence in preradiation teeth extractions: A prospective study” Prognostic impact of caspase‐8 mutation in oral cavity squamous cell carcinoma OSR1 suppresses oral squamous cell carcinoma proliferation and migration via the AXIN2/β‐catenin pathway Comparison of the effects of acupuncture methods on the temporomandibular disorder: A network meta‐analysis Oral squamous cell carcinoma identification by FTIR spectroscopy of oral biofluids
×
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