Comparative diagnostic accuracy of ChatGPT-4 and machine learning in differentiating spinal tuberculosis and spinal tumors.

Journal: The spine journal : official journal of the North American Spine Society
Published Date: Jan 11, 2025

Abstract

BACKGROUND: In clinical practice, distinguishing between spinal tuberculosis (STB) and spinal tumors (ST) poses a significant diagnostic challenge. The application of AI-driven large language models (LLMs) shows great potential for improving the accuracy of this differential diagnosis.

Authors

  • Xiaojiang Hu
    Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha 410008, China; Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
  • Dongcheng Xu
    Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha 410008, China; Department of Spine Surgery, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, China.
  • Hongqi Zhang
    China International Neuroscience Institute (China-INI), Beijing, China xwzhanghq@163.com qinlan@unionstrongtech.com.
  • Mingxing Tang
    Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China. Electronic address: 404350@csu.edu.cn.
  • Qile Gao
    Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China. Electronic address: gaoql@csu.edu.cn.

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