What question did this study set out to answer?

To assess the feasibility, educational quality, and accuracy of large language model-generated clinical case scenarios and multiple-choice questions for undergraduate medical training.

October 27, 2025BMC Medical EducationOpen Access

Generative AI in medical education: feasibility and educational value of LLM-generated clinical cases with MCQs

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To assess the feasibility, educational quality, and accuracy of large language model-generated clinical case scenarios and multiple-choice questions for undergraduate medical training.
Twelve ophthalmology clinical case scenarios with multiple-choice questions (MCQs) were generated using ChatGPT 4.0 and evaluated by eight faculty members.
High-scoring cases were incorporated into review sessions for 20 undergraduate medical students, who evaluated the material through 5-point Likert scale questionnaires.
The 12 AI-generated cases attained a mean quality score of 52.33 ± 5.44 out of 60 (range: 48–54.25), though faculty ratings for identical cases varied significantly (F = 16.050, P < 0.001).
Among 20 students, 95% agreed AI-generated cases enriched learning resources, 80% reported improved learning efficiency, and 85% utilized models for post-class practice while expressing concerns regarding accuracy.
AI hallucinations occurred in 16.67% of cases (2/12), featuring contradictory imaging indications and flawed diagnostic logic.

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Implication

Educational evaluation study reveals high student satisfaction alongside factual errors in AI-generated cases in medical education, highlighting the need for human oversight.

Cite This Study

Huang et al. (2025) studied this question.

synapsesocial.com/papers/6a8186bd0dbb8263c158b7e6 https://doi.org/10.1186/s12909-025-08085-8

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Implication

Educational evaluation study reveals high student satisfaction alongside factual errors in AI-generated cases in medical education, highlighting the need for human oversight.

Generative AI in medical education: feasibility and educational value of LLM-generated clinical cases with MCQs

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Discussion

Implication

Cite This Study

Generative AI in medical education: feasibility and educational value of LLM-generated clinical cases with MCQs

Key Points

Discussion

Implication

Cite This Study

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