Performance of GPT-4 for automated prostate biopsy decision-making based on mpMRI: a multi-center evidence study.

Journal: Military Medical Research
Published Date:

Abstract

BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) has significantly advanced prostate cancer (PCa) detection, yet decisions on invasive biopsy with moderate prostate imaging reporting and data system (PI-RADS) scores remain ambiguous.

Authors

  • Ming-Jun Shi
    Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Zhi-Xiang Wang
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
  • Shuang-Kun Wang
    Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
  • Xuan-Hao Li
    Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Yan-Lin Zhang
    Department of Pathology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
  • Ying Yan
    School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang, Guizhou, China.
  • Ran An
    Department of Anesthesiology, Chongqing University Cancer Hospital, Chongqing, China.
  • Li-Ning Dong
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
  • Lei Qiu
    Department of Gastric Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
  • Tian Tian
    Laboratory Animal Center College of Animal Science Jilin University Changchun China.
  • Jia-Xin Liu
    Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
  • Hong-Chen Song
    Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
  • Ya-Fan Wang
    Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
  • Che Deng
    Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
  • Zi-Bing Cao
    Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
  • Hong-Yin Wang
    Department of Urology, Peking University Third Hospital, Beijing, 100083, China.
  • Zheng Wang
    Department of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, China.
  • Wei Wei
    Dept. Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Jian Song
    School of International Studies, Sun Yat-sen University, Guangzhou, China.
  • Jian Lu
    Key Laboratory of Microelectronic Devices & Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China.
  • Xuan Wei
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, 100050, People's Republic of China.
  • Zhen-Chang Wang
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China. cjr.wzhch@vip.163.com.