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This is a Quantitative Study study.

Performance of GPT-4o and o1-Pro on United Kingdom Medical Licensing Assessment-style items: a comparative study

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This analysis reveals accuracy differences in AI models for the UK Medical Licensing Assessment, suggesting development areas.

GPT-4o achieved an accuracy of 88.8%, while o1-Pro outperformed with 93.0%, indicating clear model quality variance.
Statistical analysis using McNemar’s test confirmed the significant performance advantage for o1-Pro across the evaluated items.
Specialized medical fields revealed variable results, with both models excelling in surgery and psychiatry, but differences in dermatology and imaging.
Despite high overall scores, isolated weaknesses in general practice point to the need for traditional study methods alongside AI.

Vakili et al. (2025) studied this question.

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View Full Paper

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Authors

This analysis reveals accuracy differences in AI models for the UK Medical Licensing Assessment, suggesting development areas.

GPT-4o achieved an accuracy of 88.8%, while o1-Pro outperformed with 93.0%, indicating clear model quality variance.
Statistical analysis using McNemar’s test confirmed the significant performance advantage for o1-Pro across the evaluated items.
Specialized medical fields revealed variable results, with both models excelling in surgery and psychiatry, but differences in dermatology and imaging.
Despite high overall scores, isolated weaknesses in general practice point to the need for traditional study methods alongside AI.

Vakili et al. (2025) studied this question.

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