Comparative analysis of a standard (GPT-4o) and reasoning-enhanced (o1 pro) large language model on complex clinical questions from the Japanese orthopaedic board examination.

Abstract

Authors

• Joe Hasei
  Department of Medical Information and Assistive Technology Development, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan. Electronic address: py3g9rcw@s.okayama-u.ac.jp.
• Ryuichi Nakahara
  Science of Functional Recovery and Reconstruction, Graduate School of Medicine, Dentistry and Pharmaceu-tical Sciences, Okayama University, Okayama, Japan.
• Koichi Takeuchi
  Graduate School of Environmental, Life Natural Science and Technology, Okayama University, Okayama, Japan.
• Aki Yoshida
  Science of Functional Recovery and Reconstruction, Graduate School of Medicine, Dentistry and Pharmaceu-tical Sciences, Okayama University, Okayama, Japan.
• Takuto Itano
  Science of Functional Recovery and Reconstruction, Graduate School of Medicine, Dentistry and Pharmaceu-tical Sciences, Okayama University, Okayama, Japan.
• Tomohiro Fujiwara
  Science of Functional Recovery and Reconstruction, Graduate School of Medicine, Dentistry and Pharmaceu-tical Sciences, Okayama University, Okayama, Japan.
• Eiji Nakata
  Science of Functional Recovery and Reconstruction, Graduate School of Medicine, Dentistry and Pharmaceu-tical Sciences, Okayama University, Okayama, Japan.
• Toshiyuki Kunisada
  Science of Functional Recovery and Reconstruction, Graduate School of Medicine, Dentistry and Pharmaceu-tical Sciences, Okayama University, Okayama, Japan.
• Toshifumi Ozaki
  Science of Functional Recovery and Reconstruction, Graduate School of Medicine, Dentistry and Pharmaceu-tical Sciences, Okayama University, Okayama, Japan.

Keywords

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