Rise of ChatGPT: It May Be Time to Reassess How We Teach and Test Radiology Residents

HomeRadiologyVol. 307, No. 5 PreviousNext Reviews and CommentaryEditorialRise of ChatGPT: It May Be Time to Reassess How We Teach and Test Radiology ResidentsAna P. Lourenco , Priscilla J. Slanetz, Grayson L. BairdAna P. Lourenco , Priscilla J. Slanetz, Grayson L. BairdAuthor AffiliationsFrom the Department of Diagnostic Imaging, Warren Alpert Medical School of Brown University and Rhode Island Hospital, 593 Eddy St, 3rd Floor, Providence, RI 02903 (A.P.L., G.L.B.); and Department of Radiology, Boston University Medical Center, Boston, Mass (P.J.S.).Address correspondence to A.P.L. (email: [email protected]).Ana P. Lourenco Priscilla J. SlanetzGrayson L. BairdPublished Online:May 16 2023https://doi.org/10.1148/radiol.231053MoreSectionsFull textPDF ToolsImage ViewerAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked In References1. Loh E. Medicine and the rise of the robots: a qualitative review of recent advances of artificial intelligence in health. BMJ Leader 2018;(2):59–63 https://doi.org/10.1136/leader-2018-000071. Crossref, Google Scholar2. Shen Y, Heacock L, Elias J, et al. ChatGPT and Other Large Language Models Are Double-edged Swords. Radiology 2023;307(2):e230163. Link, Google Scholar3. Bhayana R, Krishna S, Bleakney RR. Performance of ChatGPT on a radiology board–style examination: insights into current strengths and limitations. Radiology 2023;307(5):e230582. Link, Google Scholar4. Sawin EI. Taxonomy of Educational Objectives: The Classification of Educational Goals. Handbook 1. Committee of College and University Examiners, Benjamin S. Bloom. Elem Sch J 1957;57(6):343–344. Crossref, Google Scholar5. Anderson LW, Krathwohl DR. A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom's Taxonomy of Educational Objectives. Pearson, 2001; 28–37. Google Scholar6. Muller J. The Tyranny of Metrics. Princeton University Press, 2018; 29–31. Crossref, Google Scholar7. Choi JH, Hickman KE, Monahan A, Schwarcz D. ChatGPT Goes to Law School. Minnesota Legal Studies Research Paper No. 23–03. https://ssrn.com/abstract=4335905. Updated April 13, 2023. Accessed March 5, 2023. Google Scholar8. Terwiesch C. Would Chat GPT Get a Wharton MBA? A Prediction Based on Its Performance in the Operations Management Course. Mack Institute for Innovation Management. https://mackinstitute.wharton.upenn.edu/2023/would-chat-gpt3-get-a-wharton-mba-new-white-paper-by-christian-terwiesch/. Published January 17, 2023. Accessed March 5, 2023. Google Scholar9. Kung TH, Cheatham M, Medenilla A, et al. Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLOS Digit Health 2023;2(2):e0000198. Crossref, Medline, Google Scholar10. Gilson A, Safranek CW, Huang T, et al. How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment. JMIR Med Educ 2023;9:e45312. Crossref, Medline, Google ScholarArticle HistoryReceived: Apr 23 2023Revision requested: Apr 26 2023Revision received: Apr 26 2023Accepted: Apr 26 2023Published online: May 16 2023 FiguresReferencesRelatedDetailsCited ByChatGPT in Radiology: Evaluating Proficiencies, Addressing Shortcomings, and Proposing Integrative Approaches for the FutureShi-Tao Jiang, Yi-Yao Xu, Xin Lu, 11 July 2023 | Radiology, Vol. 308, No. 1ChatGPT and the Reshaping of Radiology TrainingShakthi Kumaran Ramasamy, 20 June 2023 | Radiology, Vol. 307, No. 5Accompanying This ArticlePerformance of ChatGPT on a Radiology Board-style Examination: Insights into Current Strengths and LimitationsMay 16 2023RadiologyGPT-4 in Radiology: Improvements in Advanced ReasoningMay 16 2023RadiologyRecommended Articles Addressing Racial Inequities in Access to State-of-the-Art Breast ImagingRadiology2022Volume: 306Issue: 2Equalizing the Performance of Radiologists and Physician Extenders in Screening MammographyRadiology2022Volume: 306Issue: 1pp. 110-111Clinical Performance of Synthesized Two-dimensional Mammography Combined with Tomosynthesis in a Large Screening PopulationRadiology2017Volume: 283Issue: 1pp. 70-76Comparative Benefit-to–Radiation Risk Ratio of Molecular Breast Imaging, Two-Dimensional Full-Field Digital Mammography with and without Tomosynthesis, and Synthetic Mammography with TomosynthesisRadiology: Imaging Cancer2019Volume: 1Issue: 1Standalone AI in Breast Cancer Screening: Where We Are and What Is to Be AchievedRadiology2023Volume: 307Issue: 5See More RSNA Education Exhibits Artificial Intelligence In Breast Imaging: What’s Going On In Real World?Digital Posters2021Structured Reporting And Natural Language Processing: A Successful MarriageDigital Posters2021Artificial Intelligence in Breast Imaging: Past, Present, and FutureDigital Posters2020 RSNA Case Collection Slow-growing cancerRSNA Case Collection2020Invasive Lobular CarcinomaRSNA Case Collection2021Skin calcificationsRSNA Case Collection2020 Vol. 307, No. 5 Metrics Altmetric Score PDF download