ArticleMedical science educator2025
GenAI and Faculty Collaboration Support Feasible Development of Curriculum-Aligned Open-Access Board-Style Questions.
Article in Medical science educator, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A curriculum-aligned generative AI chatbot was developed to create USMLE-style anatomy multiple-choice questions using open-access resources. Subject matter experts evaluated 100 of these questions and 83% were found to be potentially usable, with many needing minimal or no modifications. Sentiment analysis of subject matter expert interviews showed mild positive sentiment while acknowledging both advantages and limitations of AI-generated assessment items. Interestingly, the chatbot revealed discrepancies between faculty expectations and documented learning objectives, highlighting opportunities for curricular improvement. This ethically designed system provides a scalable, cost-effective approach to enhance equity and support local assessment development in medical education.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.