Evaluating the Quality of AI-Written Scenarios for Virtual Oral Surgical Board Preparatory Examination

AI-written clinical scenarios were comparable to faculty-written scenarios in terms of complexity and appropriateness for senior surgical residents when used in a virtual mock oral board examination, highlighting the potential utility of AI-based tools in oral board preparation and surgical education.

Authors

Institutions

Publication Details

Journal
Journal of surgical education
Published
2025-10-22
DOI
https://doi.org/10.1016/j.jsurg.2025.103736
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the Quality of AI-Written Scenarios for Virtual Oral Surgical Board Preparatory Examination

Paul E. Wise, Jeffrey A. Blatnik, Jung Hwan Yu, Michael Williams et al.
Journal of surgical education
Surgical Simulation and Training
article

Evaluating the Quality of AI-Written Scenarios for Virtual Oral Surgical Board Preparatory Examination

Paul E. Wise, Jeffrey A. Blatnik, Jung Hwan Yu, Michael Williams, C Cooper Donald, Usman Y Panni
article en

Abstract

AI-written clinical scenarios were comparable to faculty-written scenarios in terms of complexity and appropriateness for senior surgical residents when used in a virtual mock oral board examination, highlighting the potential utility of AI-based tools in oral board preparation and surgical education.

Journal of surgical educationVol. 82(12)
Washington University in St. Louis (US), Saint Louis University (US)
Openalex Percentile: Top 53%
Surgical Simulation and Training
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.