Cited by 5Surgical Simulation and TrainingSimulation-Based Education in HealthcareInnovations in Medical Education

The DOI matches its Crossref record.

510 Artificial Intelligence Tutoring Compared with Expert Instruction in Neurosurgical Simulation Training: A Randomized Controlled Trial

Abstract

INTRODUCTION: Resection of subpial tumors adjacent to critical brain areas is one of the most high-stakes surgical procedures that lacks opportunities for safe deliberate practice. Furthermore, performance-based assessment in neurosurgical apprenticeship is inefficient and vulnerable to subjectivity. Utilizing Artificial Intelligence (AI) to classify neurosurgical psychomotor expertise, we developed the first AI-powered tutor in neurosurgical simulation training, known as the Virtual Operative Assistant (VOA), to augment technical skills acquisition training by providing intelligent feedback. METHODS: A multi-institutional randomized controlled trial compared VOA’s automated audiovisual metric-based feedback vs remote verbal debriefing with expert instruction and no-feedback controls. Medical students performed six simulated subpial brain tumor resections: five practice attempts followed with feedback and one complex realistic attempt evaluated skill retention and transfer. A deep learning model, Intelligent Continuous Expertise Monitoring System (ICEMS Expertise Score), and blinded Objective Structured Assessment of Technical Skills (OSATS) evaluated performance. Participants reported emotions before, during and after training and completed a cognitive load questionnaire following training. RESULTS: Seventy medical students from four institutions were randomly assigned to VOA (n=23), Instructor (n=24), and Control (n=23) Groups. 350 practice attempts were assessed by ICEMS, and 70 realistic attempts were evaluated by ICEMS and OSATS. During practice, VOA training resulted in a significant improvement of participants’ Expertise Scores that was on average 0.66 (95% CI 0.55-0.77) and 0.65 (95% CI 0.54-0.77) points higher than Instructor and Control Groups (p<.001). Realistic attempt’s average Expertise Score was significantly higher in the VOA Group compared to Instructor and Control Groups (mean difference 0.53; 0.49, respectively, p<.001). VOA and Instructor Group’s realistic attempt OSATS ratings were not significantly different. OSATS ratings demonstrated that VOA feedback resulted in significantly higher Respect for Tissue and Economy of Movement compared to Control while expert instruction significantly improved Instrument Handling compared to Control. There was no significant between-groups difference in cognitive load, positive-, and negative-activating emotions. CONCLUSION: VOA’s quantitative automated benchmark feedback demonstrated superior performance outcome, improved skill transfer, with equivalent OSATS ratings and similar cognitive and affective responses compared to remote expert instruction.

Overview

Integrity signals

Registry

Crossref · 10.1227/neu.0000000000001880_510

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cited by

Sorted by citations

Metadata

Authors
Fazlollahi, A., Bakhaidar, M., Alsayegh, A., Yilmaz, R., Winkler-Schwartz, A., Langleben, I., Mirchi, N., Ledwos, N., Harley, J., & Del Maestro, R.
Venue
Neurosurgery
Published
2022-03-01
Volume
68
Issue
Supplement_1
Pages
128-129
ISSN
  • 0148-396X (ISSN-L)
  • 1524-4040
OpenAlex
W4220700556
Cited by
5
References
0
Citations by year
2026: 2 · 2025: 1 · 2024: 1 · 2023: 1
FWCI
0.72
Type
journal article
Language
en
Open access
closed
Locations
Neurosurgery (publishedVersion)
Topics
  • Health Sciences › Medicine › Surgery › Surgical Simulation and Training
  • Social Sciences › Education › Simulation-Based Education in Healthcare
  • Social Sciences › Education › Innovations in Medical Education
Keywords
automated feedback, psychomotor skill acquisition, skill retention, skill transfer, medical students, cognitive load, emotions, OSATS, instrument handling

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review