DOI QR코드

DOI QR Code

ChatGPT Vision for Radiological Interpretation: An Investigation Using Medical School Radiology Examinations

  • Hyungjin Kim (Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine) ;
  • Paul Kim (Graduate School of Education, Stanford University) ;
  • Ijin Joo (Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine) ;
  • Jung Hoon Kim (Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine) ;
  • Chang Min Park (Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine) ;
  • Soon Ho Yoon (Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine)
  • 투고 : 2024.01.09
  • 심사 : 2024.01.14
  • 발행 : 2024.04.01

초록

키워드

참고문헌

  1. Jung KH. Uncover this tech term: foundation model. Korean J Radiol 2023;24:1038-1041 https://doi.org/10.3348/kjr.2023.0790
  2. Fink MA, Bischoff A, Fink CA, Moll M, Kroschke J, Dulz L, et al. Potential of ChatGPT and GPT-4 for data mining of free-text CT reports on lung cancer. Radiology 2023;308:e231362
  3. Adams LC, Truhn D, Busch F, Kader A, Niehues SM, Makowski MR, et al. Leveraging GPT-4 for post hoc transformation of free-text radiology reports into structured reporting: a multilingual feasibility study. Radiology 2023;307:e230725
  4. Rahsepar AA, Tavakoli N, Kim GHJ, Hassani C, Abtin F, Bedayat A. How AI responds to common lung cancer questions: ChatGPT vs Google Bard. Radiology 2023;307:e230922
  5. Bhayana R, Krishna S, Bleakney RR. Performance of ChatGPT on a radiology board-style examination: insights into current strengths and limitations. Radiology 2023;307:e230582
  6. Rau A, Rau S, Zoeller D, Fink A, Tran H, Wilpert C, et al. A context-based chatbot surpasses trained radiologists and generic ChatGPT in following the ACR appropriateness guidelines. Radiology 2023;308:e230970