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Advances in Large Language Model Performance: A Comparative Study of ChatGPT-4 and ChatGPT-5 on ABSITE Questions
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2025
Jahr
Abstract
= 0.008), reflecting enhanced performance in multi-step clinical decision making. In contrast, Definitions (93.5% vs 93.5%) and Biochemistry/Pharmaceutical (83.3% vs 83.3%) showed no significant difference due to ceiling effects. In the Treatment & Surgical Procedures category, accuracy improved from 69.2% to 76.9%, but without statistical significance owing to the small sample size.ConclusionChatGPT-5 demonstrated significantly higher accuracy than ChatGPT-4o in ABSITE Quiz questions, particularly in case-based scenarios requiring clinical reasoning. These findings suggest that newer LLM versions may provide more reliable support in surgical education and exam preparation, though further validation in multimodal and real exam settings is needed.
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