Evaluating DeepResearch and DeepThink in anterior cruciate ligament surgery patient education: ChatGPT-4o excels in comprehensiveness, DeepSeek R1 leads in clarity and readability of orthopaedic information.

Journal: Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Published Date: Aug 1, 2025

Abstract

PURPOSE: This study compares ChatGPT-4o, equipped with its deep research feature, and DeepSeek R1, equipped with its deepthink feature-both enabling real-time online data access-in generating responses to frequently asked questions (FAQs) about anterior cruciate ligament (ACL) surgery. The aim is to evaluate and compare their performance in terms of accuracy, clarity, completeness, consistency and readibility for evidence-based patient education.

Authors

  • Onur Gültekin
    Department of Orthopaedics and Traumatology, Istanbul Fatih Sultan Mehmet Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
  • Jumpei Inoue
    Department of Orthopaedic Surgery, Nagoya Tokushukai General Hospital, Kasugai, Aichi, Japan.
  • Baris Yilmaz
    Department of Orthopaedics and Traumatology, Istanbul Fatih Sultan Mehmet Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
  • Mehmet Halis Cerci
    Department of Orthopedics and Traumatology, Memorial Sisli Hospital, Istanbul, Turkey.
  • Bekir Eray Kilinc
    Orthopedics Clinic, Golhisar State Hospital, Burdur, Turkey.
  • Hüsnü Yilmaz
    Department of Orthopaedics and Traumatology, Istanbul Kartal Dr. Lutfi Kirdar City Hospital, Istanbul, Turkey.
  • Robert Prill
    Center of Orthopaedics and Traumatology, Brandenburg Medical School, University Hospital Brandenburg an der Havel, Brandenburg an der Havel, Germany.
  • Mahmut Enes Kayaalp
    Department of Orthopaedics and Traumatology, Istanbul Fatih Sultan Mehmet Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.

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