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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58966, first published .
Surgeon using VR headset for robotic surgery with holographic display

Transforming Surgical Training With AI Techniques for Training, Assessment, and Evaluation: Scoping Review

Transforming Surgical Training With AI Techniques for Training, Assessment, and Evaluation: Scoping Review

Journals

  1. Jamel W, Jameel M, Riaz I, Yousif Y, Perez H R, de la Torre V, Seth I. Artificial intelligence–enhanced microsurgical training: a systematic review. npj Digital Medicine 2026;9(1) View
  2. Liu B, Gong B, Zhang X, Lu C, Zheng B, Yang J. Self-directed teaching system driven by video analysis feedback improves surgical skill training for clinical interns: a randomized controlled trial. BMC Medical Education 2026 View
  3. Lai S, Fan Y, Yao F, Zhang S. The ABCD of AI-Enabled Clinical Reasoning: A Guided Framework to Transform Learner Interactions and Decision Quality. Journal of Surgical Education 2026;83(6):103963 View
  4. Roberto C, Vincenzo L, Alberto C, Lucrezia B, Pierpaolo C, Federica G, Vittoria C, Roberto C, Damiano C. Robotic-Assisted Surgery for Colorectal Cancer Treatment in 2026: An Updated Narrative Review. Journal of Clinical Medicine 2026;15(10):3714 View
  5. Dai Z, Chen Z, Weng L, Guo L, Dai Z. Defining the artificial intelligence knowledge gap in surgery: experience and perspectives from surgical resident and postgraduate. Updates in Surgery 2026 View