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August 1, 2025British journal of surgery

17 Artificial intelligence for the detection of surgical site infection on wound images. A systematic review and meta-analysis

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Authors

NBNathan BontekoningHHHiske HuismanMAMahsoem Ali

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Overview

Systematic review reveals AI's accuracy in diagnosing surgical site infection, highlighting the importance of data sharing.

Key Points

  • The analysis demonstrated an overall combined AUC of 0.92, indicating AI's potential in detecting surgical site infections.
  • Out of 15,941 images analyzed, 12.5% were suspected of having a surgical site infection, showcasing the challenge in diagnosis.
  • Nine studies were included in the meta-analysis, combining several area under receiver operating curve values for evaluation.
  • Investigating AI for SSI detection may reduce face-to-face evaluations and associated costs, enhancing post-surgery care.

Cite This Study

Bontekoning et al. (2025) studied this question.

synapsesocial.com/papers/68af409acf1dd9ea359ec759https://doi.org/10.1093/bjs/znaf159.005
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