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July 15, 2025Open Access

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

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Authors

MCMatthias CarstensSVShubha VasishtZZZheyuan Zhang

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Overview

Systematic review reveals gaps in validation and clinical application of AI in surgical scene understanding, highlighting future directions.

Key Points

  • Surgical scene understanding relies on artificial intelligence to analyze surgical imaging data.
  • The review analyzed 188 studies, mostly from laparoscopic surgeries, revealing limited data diversity.
  • Validation of AI models was often inadequate, with many lacking clinical expert involvement and diverse datasets.
  • Findings emphasize the need for robust validation practices and clinically relevant data for successful AI implementation.

Cite This Study

Carstens et al. (2025) studied this question.

synapsesocial.com/papers/689a02b6e6551bb0af8cc4dehttps://doi.org/10.1101/2025.07.12.25330122
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