ChatGPT and Other Large Language Models Are Double-edged Swords

HomeRadiologyVol. 307, No. 2 PreviousNext Reviews and CommentaryEditorialChatGPT and Other Large Language Models Are Double-edged SwordsYiqiu Shen , Laura Heacock, Jonathan Elias, Keith D. Hentel, Beatriu Reig, George Shih, Linda MoyYiqiu Shen , Laura Heacock, Jonathan Elias, Keith D. Hentel, Beatriu Reig, George Shih, Linda MoyAuthor AffiliationsFrom the Center for Data Science, New York University, 60 5th Ave, New York, NY 10011 (Y.S.); Department of Radiology, New York University School of Medicine, New York, NY (L.H., B.R., L.M.); and Departments of Primary Care (J.E.) and Radiology (K.D.H., G.S.), Weill Cornell Medicine, New York, NY.Address correspondence to Y.S. (email: [email protected]).Yiqiu Shen Laura HeacockJonathan EliasKeith D. HentelBeatriu ReigGeorge ShihLinda MoyPublished Online:Jan 26 2023https://doi.org/10.1148/radiol.230163MoreSectionsFull textPDF ToolsImage ViewerAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked In References1. Min B, Ross H, Sulem E, et al. Recent advances in natural language processing via large pre-trained language models. arXiv 2111.01243 [preprint]. https://arxiv.org/abs/2111.01243. Posted November 1, 2021. Accessed January 19, 2023. Google Scholar2. Vaswani A, Shazeer N, Parmar N, et al. Attention is all you need. Advances in Neural Information Processing Systems 2017;30. https://papers.nips.cc/paper/2017/hash/3f5ee243547dee91fbd053c1c4a845aa-Abstract.html. Google Scholar3. ChatGPT: Optimizing Language Models for Dialogue. OpenAI. https://openai.com/blog/chatgpt/. Published November 30, 2022. Accessed January 19, 2023. Google Scholar4. Brown T, Mann B, Ryder N, et al. Language models are few-shot learners. 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Link, Google ScholarArticle HistoryReceived: Jan 23 2023Revision requested: Jan 23 2023Revision received: Jan 23 2023Accepted: Jan 23 2023Published online: Jan 26 2023 FiguresReferencesRelatedDetailsCited ByFeasibility of Differential Diagnosis Based on Imaging Patterns Using a Large Language ModelJonathan Kottlors, Grischa Bratke, Philip Rauen, Christoph Kabbasch, Thorsten Persigehl, Marc Schlamann, Simon Lennartz, 5 July 2023 | Radiology, Vol. 308, No. 1A Context-based Chatbot Surpasses Trained Radiologists and Generic ChatGPT in Following the ACR Appropriateness GuidelinesAlexander Rau, Stephan Rau, Daniela Zoeller, Anna Fink, Hien Tran, Caroline Wilpert, Johanna Nattenmueller, Jakob Neubauer, Fabian Bamberg, Marco Reisert, Maximilian F. Russe, 25 July 2023 | Radiology, Vol. 308, No. 1Performance of ChatGPT on a Radiology Board-style Examination: Insights into Current Strengths and LimitationsRajesh Bhayana, Satheesh Krishna, Robert R. 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AymanAl-Eyadhy2023 | CureusExploring the Boundaries of Reality: Investigating the Phenomenon of Artificial Intelligence Hallucination in Scientific Writing Through ChatGPT ReferencesSai AnirudhAthaluri, Sandeep VarmaManthena, V S R Krishna ManojKesapragada, VineelYarlagadda, TirthDave, Rama Tulasi SiriDuddumpudi2023 | CureusChatGPT in Dentistry: A Comprehensive ReviewHind MAlhaidry, BaderFatani, Jenan OAlrayes, Aljowhara MAlmana, Nawaf KAlfhaed2023 | CureusAn era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challengesAbidHaleem, MohdJavaid, Ravi PratapSingh2022 | BenchCouncil Transactions on Benchmarks, Standards and Evaluations, Vol. 2, No. 4Artificial intelligence and dental researchSMBalaji2022 | Indian Journal of Dental Research, Vol. 33, No. 4Accompanying This ArticleChatGPT- Special Radiology:AI Podcast CollaborationFeb 21 2023Default Digital Object SeriesEpisode 17: ChatGPT- Special Radiology Podcast CollaborationFeb 21 2023Default 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