AI assessment of surgical technical skill adaptation across depth levels in simulated tumor resection: a case series study.

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Bibliographic Details
Title: AI assessment of surgical technical skill adaptation across depth levels in simulated tumor resection: a case series study.
Authors: Filiz M; 1Neurosurgical Simulation and Artificial Intelligence Learning Centre, McGill University, Montreal, Quebec.; 2Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada., Yilmaz R; 1Neurosurgical Simulation and Artificial Intelligence Learning Centre, McGill University, Montreal, Quebec.; 3Division of Neurosurgery & Pediatrics, Children's National Medical Center, Washington, DC; and., Tee T; 1Neurosurgical Simulation and Artificial Intelligence Learning Centre, McGill University, Montreal, Quebec., Pachchigar P; 1Neurosurgical Simulation and Artificial Intelligence Learning Centre, McGill University, Montreal, Quebec., Han X; 4Booth School of Business, University of Chicago, Illinois., Donoho DA; 3Division of Neurosurgery & Pediatrics, Children's National Medical Center, Washington, DC; and., Del Maestro RF; 1Neurosurgical Simulation and Artificial Intelligence Learning Centre, McGill University, Montreal, Quebec.
Source: Journal of neurosurgery [J Neurosurg] 2026 May 01, pp. 1-11. Date of Electronic Publication: 2026 May 01.
Publication Type: Journal Article
Journal Info: Publisher: American Association of Neurological Surgeons Country of Publication: United States NLM ID: 0253357 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1933-0693 (Electronic) Linking ISSN: 00223085 NLM ISO Abbreviation: J Neurosurg Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1933-0693
DOI:10.3171/2025.12.JNS251528