From setting to vetting: using artificial intelligence for Single Best Answer questions review

These findings suggest that AI can function as an efficient first-pass reviewer, improving consistency and reducing workload, with human oversight remaining essential for educational and clinical relevance.

Authors

Institutions

Publication Details

Journal
Korean journal of medical education
Published
2026-02-19
DOI
https://doi.org/10.3946/kjme.2025.068
Citations
1
Primary Topic
Expert finding and Q&A systems
Type
article
Field-Weighted Citation Impact
99.41
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article

From setting to vetting: using artificial intelligence for Single Best Answer questions review

Magdalene Hui Min Lee, Siew Ping Han, Olivia Ng, Dong Haur Phua
1 citations
Korean journal of medical education
Expert finding and Q&A systems
99.41
article

From setting to vetting: using artificial intelligence for Single Best Answer questions review

Magdalene Hui Min Lee, Siew Ping Han, Olivia Ng, Dong Haur Phua
article en
1 citations

Abstract

These findings suggest that AI can function as an efficient first-pass reviewer, improving consistency and reducing workload, with human oversight remaining essential for educational and clinical relevance.

Korean journal of medical educationVol. 38(1)
Nanyang Technological University (SG), Tan Tock Seng Hospital (SG)
Openalex Percentile: Top 0%
Expert finding and Q&A systems
99.41
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