ArticleTaiwan journal of ophthalmology
Assessing GPT-4o and GPT-4 in answering and explaining ophthalmology examination questions from Taiwan's medical licensing test.
Article in Taiwan journal of ophthalmology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeThis study aims to evaluate and compare the performance of generative pretrained transformer (GPT)-4o and GPT-4 in answering Taiwan's National Medical Licensing Examination (NMLE) ophthalmology questions from 2014 to 2023, focusing on both answer accuracy and explanation quality. MATERIALS AND
methodsA total of 169 ophthalmology questions from Taiwan's NMLE over the past decade were selected. GPT-4o and GPT-4 were tested on each question, and their performance was measured by correct answers and explanations. The results were categorized by ophthalmologic subspecialty and analyzed using statistical methods to determine significant differences between the two models.
resultsGPT-4o achieved a significantly higher overall correct answer rate (92.9%) compared to GPT-4 (69.2%) across all ophthalmology questions from 2014 to 2023 (
conclusionGPT-4o exhibited superior performance in both answering and explaining ophthalmology questions from Taiwan's NMLE compared to GPT-4. These results suggest that GPT-4o may be a more reliable tool for educational and diagnostic purposes in ophthalmology.
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