Exploring the potential of ChatGPT as an adjunct for generating diagnosis based on chief complaint and cone beam CT radiologic findings.

Journal: BMC medical informatics and decision making
Published Date: Feb 19, 2024

Abstract

AIM: This study aimed to assess the performance of OpenAI's ChatGPT in generating diagnosis based on chief complaint and cone beam computed tomography (CBCT) radiologic findings.

Authors

  • Yanni Hu
    Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Zhong Yang Road 30, Nanjing City, 210008, Jiangsu, People's Republic of China.
  • Ziyang Hu
    Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Zhong Yang Road 30, Nanjing City, 210008, Jiangsu, People's Republic of China.
  • Wenjing Liu
    Children Rehabilitation Center, the Affiliated Hospital of Jining Medical University, Jining, China.
  • Antian Gao
    Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Zhong Yang Road 30, Nanjing City, 210008, Jiangsu, People's Republic of China.
  • Shanhui Wen
    Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, Jiangsu, People's Republic of China.
  • Shu Liu
    Key Laboratory of Network Oriented Intelligent Computation, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China. Electronic address: liushuhit@outlook.com.
  • Zitong Lin
    Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Zhong Yang Road 30, Nanjing City, 210008, Jiangsu, People's Republic of China. linzitong_710@163.com.

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