Accuracy of artificial intelligence in detecting tumor bone metastases: a systematic review and meta-analysis.

Journal: BMC cancer
Published Date: Feb 18, 2025

Abstract

BACKGROUND: Bone metastases (BM) represent a prevalent complication of tumors. Early and accurate diagnosis, however, is a significant hurdle for radiologists. Recently, artificial intelligence (AI) has emerged as a valuable tool to assist radiologists in the detection of BM. This meta-analysis was undertaken to evaluate the AI diagnostic accuracy for BM.

Authors

  • Huimin Tao
    Department of The First Clinical Medical College of Gansu, University of Chinese Medicine, Lanzhou, Gansu, China.
  • Xu Hui
    Department of Evidence-Based Medicine Centre, School of Basic Medical Science, Lanzhou University, Lanzhou, Gansu, China.
  • Zhihong Zhang
    School of Materials and Chemical Engineering, Zhengzhou University of Light Industry, No. 136, Science Avenue, Zhengzhou, 450001, China. Electronic address: 2006025@zzuli.edu.cn.
  • Rongrong Zhu
    Division of Spine, Department of Orthopedics, Tongji Hospital, Tongji University School of Medicine, School of Life Science and Technology, Tongji University, Shanghai, China. rrzhu@tongji.edu.cn.
  • Ping Wang
    School of Chemistry and Chemical Engineering, Shandong University of Technology, 255049, Zibo, PR China. Electronic address: wangping876@163.com.
  • Sheng Zhou
    Department of The First Clinical Medical College of Gansu, University of Chinese Medicine, Lanzhou, Gansu, China.
  • Kehu Yang
    Department of Evidence-Based Medicine Centre, School of Basic Medical Science, Lanzhou University, Lanzhou, Gansu, China.

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