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October 2, 2025The American Surgeon

Artificial Intelligence for Postoperative Wound Monitoring: An Integrative Review of Digital Innovation and Clinical Feasibility

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Authors

JGJoel GrunhutKNKhanjan Nagarsheth

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Overview

Integrative review highlights advancements and limitations in AI-driven postoperative wound care technologies.

Key Points

  • AI-driven postoperative wound monitoring shows promise for improving patient care and clinical outcomes.
  • Analysis of 118 relevant articles reveals the need for large-scale datasets and explainable AI frameworks.
  • Evaluation includes technologies such as deep learning, mobile applications, and wearable biosensors.
  • Clinical validation studies are crucial to confirm the effectiveness of AI technologies in surgical settings.

Cite This Study

Grunhut et al. (2025) studied this question.

synapsesocial.com/papers/68de6f3a83cbc991d0a227c7https://doi.org/10.1177/00031348251385104
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1AI-driven wearable sensors for postoperative monitoring in surgical patients: A systematic review2025
  2. 2AI-guided wound closure: complementing surgical judgment2026
  3. 3Artificial Intelligence in Skin and Wound Care: Enhancing Diagnosis and Treatment With Large Language Models.2025
  4. 417 Artificial intelligence for the detection of surgical site infection on wound images. A systematic review and meta-analysis2025
  5. 5Artificial intelligence in breast surgery: Current applications, challenges, and future perspectives2026 · 3 citations