Artificial intelligence–enhanced microsurgical training: a systematic review - Takeaways - MDSpire

Artificial intelligence–enhanced microsurgical training: a systematic review

  • By

  • Wameth Alaa Jamel

  • Mohammed Jameel

  • Ibrahim Riaz

  • Yousif F. Yousif

  • Rocio Perez H

  • Valeria de la Torre

  • Ishith Seth

  • February 20, 2026

  • 0 min

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  • 1

    Artificial intelligence enhances microsurgical training by providing objective tools for skill improvement and personalized feedback.

  • 2

    The systematic review included 13 studies, revealing that AI improved technical skills and learning efficiency compared to traditional training methods.

  • 3

    AI models primarily focused on instrument tracking, motion analysis, and tutoring, achieving a median accuracy of 83.8%.

  • 4

    Despite promising results, the evidence quality was low, with high risk of bias and poor external validation limiting generalizability.

  • 5

    Future research should focus on multi-centre randomized controlled trials and standardized outcomes to enhance AI's clinical application in training.

Original Source(s)

Artificial intelligence–enhanced microsurgical training: a systematic review

  • by Wameth Alaa Jamel, Mohammed Jameel, Ibrahim Riaz, Yousif F. Yousif, Rocio Perez H, Valeria de la Torre, Ishith Seth

  • February 20, 2026

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