Accessibility settings

This paper is in the following e-collection/theme issue:

Theme Issue 2024: 25 Years of Digital Health Excellence (56) e-Learning and Digital Medical Education (971) Surgery, Trauma and Surgical Sciences (218) Reviews in Medical Education (90) New Methods and Approaches in Medical Education (426) New Resources for Medical Education (133) Artificial Intelligence in Surgery and Perioperative Medicine (49) Surgical Education and Training (15)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58966, first published .
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

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

Authors of this article:

David Escobar-Castillejos1 Author Orcid Image ;   Ari Y Barrera-Animas1 Author Orcid Image ;   Julieta Noguez2 Author Orcid Image ;   Alejandra J Magana3 Author Orcid Image ;   Bedrich Benes4 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

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