1179 领航人工智能:调查医疗组合中人工智能语言工具的使用情况

IF 8.6 1区 医学 Q1 SURGERY British Journal of Surgery Pub Date : 2024-07-01 DOI:10.1093/bjs/znae163.124
M. Harris, J. Majchrzak, F. Baig
{"title":"1179 领航人工智能:调查医疗组合中人工智能语言工具的使用情况","authors":"M. Harris, J. Majchrzak, F. Baig","doi":"10.1093/bjs/znae163.124","DOIUrl":null,"url":null,"abstract":"\n \n \n Recent advances in artificial intelligence (AI) driven natural language processing have made it possible to use tools such as ChatGPT to generate pieces of text which are realistic, eloquent, and challenging to distinguish from human-generated content. This work aims to answer the question: could the use of these tools for medical portfolios represent a positive opportunity to enhance learning, or would it detract from the purpose of reflective practice?\n \n \n \n In total, 98 post-graduate doctors from across the UK were surveyed to gather data on their awareness of, previous use of, disclosure of use and experience with these tools for their professional portfolios. Their opinions on the need for future guidance in this area were also explored.\n \n \n \n From 90 respondents who currently maintain a professional portfolio, 18 (20%) had used AI-driven tools in some form to generate content for it and none disclosed this use. Regarding disclosing the use of AI-driven tools, 67.3% advocate for this whereas 32.7% believe disclosure is unnecessary. There was slightly stronger consensus regarding how useful guidance from regulatory bodies on this practice would be, with 73.5% in support of guidance and 26.5% in opposition.\n \n \n \n Clearly, there is an urgent need for larger studies, discussion, and consensus from regulatory bodies so that guidance can be put in place. Without this, maintaining the integrity of CPD will become challenging for both trainee doctors and assessors of medical portfolios.\n","PeriodicalId":136,"journal":{"name":"British Journal of Surgery","volume":null,"pages":null},"PeriodicalIF":8.6000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"1179 Navigating the AI Landscape: Surveying the Use of AI Language Tools for Medical Portfolios\",\"authors\":\"M. Harris, J. Majchrzak, F. Baig\",\"doi\":\"10.1093/bjs/znae163.124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n \\n \\n Recent advances in artificial intelligence (AI) driven natural language processing have made it possible to use tools such as ChatGPT to generate pieces of text which are realistic, eloquent, and challenging to distinguish from human-generated content. This work aims to answer the question: could the use of these tools for medical portfolios represent a positive opportunity to enhance learning, or would it detract from the purpose of reflective practice?\\n \\n \\n \\n In total, 98 post-graduate doctors from across the UK were surveyed to gather data on their awareness of, previous use of, disclosure of use and experience with these tools for their professional portfolios. Their opinions on the need for future guidance in this area were also explored.\\n \\n \\n \\n From 90 respondents who currently maintain a professional portfolio, 18 (20%) had used AI-driven tools in some form to generate content for it and none disclosed this use. Regarding disclosing the use of AI-driven tools, 67.3% advocate for this whereas 32.7% believe disclosure is unnecessary. There was slightly stronger consensus regarding how useful guidance from regulatory bodies on this practice would be, with 73.5% in support of guidance and 26.5% in opposition.\\n \\n \\n \\n Clearly, there is an urgent need for larger studies, discussion, and consensus from regulatory bodies so that guidance can be put in place. Without this, maintaining the integrity of CPD will become challenging for both trainee doctors and assessors of medical portfolios.\\n\",\"PeriodicalId\":136,\"journal\":{\"name\":\"British Journal of Surgery\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":8.6000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"British Journal of Surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/bjs/znae163.124\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SURGERY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"British Journal of Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/bjs/znae163.124","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0

摘要

人工智能(AI)驱动的自然语言处理技术的最新进展使得使用 ChatGPT 等工具生成逼真、雄辩且难以与人工生成内容区分的文本成为可能。这项工作旨在回答这样一个问题:在医学作品集中使用这些工具是否能为加强学习提供积极的机会,还是会偏离反思性实践的目的? 我们共调查了来自英国各地的 98 名研究生医生,收集了他们对这些工具的认识、以前的使用情况、披露的使用情况以及在专业作品集中使用这些工具的经验。此外,还探讨了他们对未来该领域指导需求的看法。 在目前拥有专业作品集的 90 位受访者中,有 18 位(20%)曾以某种形式使用过人工智能驱动的工具来生成作品集内容,但没有人披露过使用情况。关于披露人工智能驱动工具的使用情况,67.3%的受访者主张披露,32.7%的受访者认为没有必要披露。对于监管机构就这一做法提供指导有多大作用,73.5% 的人表示支持,26.5% 的人表示反对,共识略有加强。 显然,迫切需要监管机构开展更大规模的研究、讨论并达成共识,以便制定指导意见。否则,无论是对受训医生还是对医疗档案的评估者而言,保持继续医学教育的完整性都将面临挑战。
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
1179 Navigating the AI Landscape: Surveying the Use of AI Language Tools for Medical Portfolios
Recent advances in artificial intelligence (AI) driven natural language processing have made it possible to use tools such as ChatGPT to generate pieces of text which are realistic, eloquent, and challenging to distinguish from human-generated content. This work aims to answer the question: could the use of these tools for medical portfolios represent a positive opportunity to enhance learning, or would it detract from the purpose of reflective practice? In total, 98 post-graduate doctors from across the UK were surveyed to gather data on their awareness of, previous use of, disclosure of use and experience with these tools for their professional portfolios. Their opinions on the need for future guidance in this area were also explored. From 90 respondents who currently maintain a professional portfolio, 18 (20%) had used AI-driven tools in some form to generate content for it and none disclosed this use. Regarding disclosing the use of AI-driven tools, 67.3% advocate for this whereas 32.7% believe disclosure is unnecessary. There was slightly stronger consensus regarding how useful guidance from regulatory bodies on this practice would be, with 73.5% in support of guidance and 26.5% in opposition. Clearly, there is an urgent need for larger studies, discussion, and consensus from regulatory bodies so that guidance can be put in place. Without this, maintaining the integrity of CPD will become challenging for both trainee doctors and assessors of medical portfolios.
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
CiteScore
12.70
自引率
7.30%
发文量
1102
审稿时长
1.5 months
期刊介绍: The British Journal of Surgery (BJS), incorporating the European Journal of Surgery, stands as Europe's leading peer-reviewed surgical journal. It serves as an invaluable platform for presenting high-quality clinical and laboratory-based research across a wide range of surgical topics. In addition to providing a comprehensive coverage of traditional surgical practices, BJS also showcases emerging areas in the field, such as minimally invasive therapy and interventional radiology. While the journal appeals to general surgeons, it also holds relevance for specialty surgeons and professionals working in closely related fields. By presenting cutting-edge research and advancements, BJS aims to revolutionize the way surgical knowledge is shared and contribute to the ongoing progress of the surgical community.
期刊最新文献
Curative-intent ablation margins (A0) for colorectal liver metastasis: more burning questions. Disease-specific survival outcomes for patients after locoregional treatment for ductal carcinoma in situ: observational cohort study. Effect of tailoring biliopancreatic limb length based on total small bowel length versus standard limb length in one anastomosis gastric bypass: 1-year outcomes of the TAILOR randomized clinical superiority trial. Identification of A0 minimum ablative margins for colorectal liver metastases: multicentre, retrospective study using deformable CT registration and artificial intelligence-based autosegmentation. Neoadjuvant 177Lu-DOTATATE for non-functioning pancreatic neuroendocrine tumours (NEOLUPANET): multicentre phase II study.
×
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