Effect of Artificial Intelligence-Augmented Human Instruction on Feedback Frequency and Surgical Performance During Simulation Training
This cohort study demonstrated that AI-augmented personalized instruction resulted in less frequent feedback, indicating fewer errors in trainee performance, and an improvement in simulated surgical skills.
Authors
- Ahmad Alhaj (ORCID: https://orcid.org/0000-0002-5604-602X)
- José A. Correa (ORCID: https://orcid.org/0000-0002-9975-6670)
- Trisha Tee (ORCID: https://orcid.org/0009-0003-5378-2923)
- Bianca Giglio (ORCID: https://orcid.org/0000-0001-5685-0977)
- Neevya Balasubramaniam
- Rothaina Saeedi (ORCID: https://orcid.org/0000-0001-9358-6925)
- Ali M. Fazlollahi (ORCID: https://orcid.org/0000-0001-7400-5558)
- Rolando F. Del Maestro (ORCID: https://orcid.org/0000-0003-3733-8921)
- Matthew Ha
- Mohamed Alhantoobi (ORCID: https://orcid.org/0000-0001-6152-894X)
- Recai Yilmaz (ORCID: https://orcid.org/0000-0003-0521-3227)
- Vanja Davidovic
- Abdulmajeed Albeloushi
- Abicumaran Uthamacumaran
- Sabrina Deraiche
Institutions
- Montreal Neurological Institute and Hospital (CA)
- McMaster University Medical Centre (CA)
- McGill University Health Centre (CA)
- McGill University (CA)
Publication Details
- Journal
- Journal of surgical education
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1016/j.jsurg.2025.103743
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 0.00