Artificial Intelligence for Surgical Scene Understanding: A Systematic Review and Reporting Quality Meta-Analysis.

ABSTRACT: Surgical scene understanding (SSU) describes the use of Artificial Intelligence (AI) to provide an understanding of visual components of surgical imaging data, such as laparoscopic surgery videos. While hundreds of publications report AI capabilities to identify instruments, anatomical structures, and other contextual data and testify potential for real-time support in the operating room, the clinical implementation of SSU remains limited. This systematic review and meta-analysis (registered in the PROSPERO database under CRD420251005301) assesses the current state and research gaps in computational SSU, focusing on data curation, model design, validation, uncertainty estimation, performance metrics, reporting quality, and clinical applicability. Studies were included if they analyzed intr

SUBMITTER: Carstens M 

PROVIDER: S-EPMC12338890 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature