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Research ArticleARTIFICIAL INTELLIGENCE

Toward Improved Radiologic Diagnostics: Investigating the Utility and Limitations of GPT-3.5 Turbo and GPT-4 with Quiz Cases

Tomohiro Kikuchi, Takahiro Nakao, Yuta Nakamura, Shouhei Hanaoka, Harushi Mori and Takeharu Yoshikawa
American Journal of Neuroradiology August 2024, DOI: https://doi.org/10.3174/ajnr.A8332
Tomohiro Kikuchi
aFrom the Departments of Computational Diagnostic Radiology and Preventive Medicine (T.K., T.N., Y.N., T.Y.), The University of Tokyo Hospital, Tokyo, Japan
bDepartment of Radiology (T.K., H.M.), School of Medicine, Jichi Medical University, Shimotsuke, Tochigi, Japan.
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Takahiro Nakao
aFrom the Departments of Computational Diagnostic Radiology and Preventive Medicine (T.K., T.N., Y.N., T.Y.), The University of Tokyo Hospital, Tokyo, Japan
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Yuta Nakamura
aFrom the Departments of Computational Diagnostic Radiology and Preventive Medicine (T.K., T.N., Y.N., T.Y.), The University of Tokyo Hospital, Tokyo, Japan
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Shouhei Hanaoka
cDepartments of Radiology (S.H.), The University of Tokyo Hospital, Tokyo, Japan.
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Harushi Mori
bDepartment of Radiology (T.K., H.M.), School of Medicine, Jichi Medical University, Shimotsuke, Tochigi, Japan.
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Takeharu Yoshikawa
aFrom the Departments of Computational Diagnostic Radiology and Preventive Medicine (T.K., T.N., Y.N., T.Y.), The University of Tokyo Hospital, Tokyo, Japan
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Article Information

DOI 
https://doi.org/10.3174/ajnr.A8332
PubMed 
38719605

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received December 26, 2023
  • Accepted after revision May 3, 2024
  • Published online August 15, 2024.

Article Versions

  • Latest version (May 7, 2024 - 09:51).
  • You are currently viewing a Latest version of this article (August 15, 2024 - 11:20).
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Copyright & Usage 
© 2024 by American Journal of Neuroradiology

Author Information

  1. Tomohiro Kikuchia,b,
  2. Takahiro Nakaoa,
  3. Yuta Nakamuraa,
  4. Shouhei Hanaokac,
  5. Harushi Morib and
  6. Takeharu Yoshikawaa
  1. aFrom the Departments of Computational Diagnostic Radiology and Preventive Medicine (T.K., T.N., Y.N., T.Y.), The University of Tokyo Hospital, Tokyo, Japan
  2. cDepartments of Radiology (S.H.), The University of Tokyo Hospital, Tokyo, Japan.
  3. bDepartment of Radiology (T.K., H.M.), School of Medicine, Jichi Medical University, Shimotsuke, Tochigi, Japan.
  1. Please address correspondence to Tomohiro Kikuchi, Department of Radiology, Jichi Medical University School of Medicine, 3311-1 Yakushiji, Shimotsuke, Tochigi, 329-0498, Japan; e-mail: r1419kt{at}jichi.ac.jp
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    American Journal of Neuroradiology 2024 45 9
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Tomohiro Kikuchi, Takahiro Nakao, Yuta Nakamura, Shouhei Hanaoka, Harushi Mori, Takeharu Yoshikawa
Toward Improved Radiologic Diagnostics: Investigating the Utility and Limitations of GPT-3.5 Turbo and GPT-4 with Quiz Cases
American Journal of Neuroradiology Aug 2024, DOI: 10.3174/ajnr.A8332

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Toward Improved Radiologic Diagnostics: Investigating the Utility and Limitations of GPT-3.5 Turbo and GPT-4 with Quiz Cases
Tomohiro Kikuchi, Takahiro Nakao, Yuta Nakamura, Shouhei Hanaoka, Harushi Mori, Takeharu Yoshikawa
American Journal of Neuroradiology Aug 2024, DOI: 10.3174/ajnr.A8332
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  • Real-World Adoption of Artificial Intelligence in Radiology: Opportunities and Barriers
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This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • Real-World Adoption of Artificial Intelligence in Radiology: Opportunities and Barriers
    Reza Forghani
    American Journal of Neuroradiology 2024 45 9

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