AI-assisted case-based learning and flipped classroom to improve clinical decision-making: a randomized controlled trial in reproductive medicine.
Med Educ OnlineMay 27, 2026 (epub)
Qi Wang, Cong Hu, Yiyang Li et al.
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In 30 seconds
This randomized controlled trial evaluated the effectiveness of an AI-assisted case-based learning and flipped classroom model in improving clinical decision-making among 50 obstetrics and gynecology residents. The AI-assisted group achieved significantly higher theoretical test scores and demonstrated superior clinical competence in Mini-CEX and OSCE assessments compared to the traditional lecture group.
Key findings
- The AI-assisted CBL+FC group had significantly higher theoretical test scores than the control group.
- Participants in the AI-assisted group showed superior overall clinical competence in Mini-CEX assessments.
- The AI-assisted group reported greater improvements in learning motivation and clinical reasoning.
Why it matters
Enhancing clinical decision-making skills in reproductive medicine is crucial due to rising infertility rates. Innovative educational strategies like AI-assisted learning can better prepare residents for real-world clinical challenges.