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

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.

Methods

Two reviewers performed an exhaustive search of several databases, including Wei Pu (VIP) database, China National Knowledge Infrastructure (CNKI), Web of Science, Cochrane Library, Ovid-Embase, Ovid-Medline, Wan Fang database, and China Biology Medicine (CBM), from their inception to December 2024. This search focused on studies that developed and/or validated AI techniques for detecting BM in magnetic resonance ima

SUBMITTER: Tao H 

PROVIDER: S-EPMC11837447 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature