{"title":"At a glance","authors":"Frank Larkin","doi":"10.1136/bjo-2024-326428","DOIUrl":null,"url":null,"abstract":"The large language model Generative Pre-trained Transformer 4 (GPT-4, Open AI) demonstrated strong performance in answering simulated ophthalmology board-style examination questions, surpassing its predecessor GPT-3.5. ChatGPT, an AI model, outperformed human candidates and Google’s Bard in a Part 1 FRCOphth multiple choice question examination, highlighting both AI’s potential in medical education but also the necessity for robust safety and ethical guidelines.’ The capabilities of a chatbot based on the large language model GPT-4V(ision) in handling queries related to slit-lamp, fundus and ophthalmic ultrasound images was evaluated. Only 30.6%, 21.5%, and 55.6% of the responses about ophthalmic multimodal images generated by GPT-4V(ision) were considered accurate, …","PeriodicalId":9313,"journal":{"name":"British Journal of Ophthalmology","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"British Journal of Ophthalmology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/bjo-2024-326428","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPHTHALMOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The large language model Generative Pre-trained Transformer 4 (GPT-4, Open AI) demonstrated strong performance in answering simulated ophthalmology board-style examination questions, surpassing its predecessor GPT-3.5. ChatGPT, an AI model, outperformed human candidates and Google’s Bard in a Part 1 FRCOphth multiple choice question examination, highlighting both AI’s potential in medical education but also the necessity for robust safety and ethical guidelines.’ The capabilities of a chatbot based on the large language model GPT-4V(ision) in handling queries related to slit-lamp, fundus and ophthalmic ultrasound images was evaluated. Only 30.6%, 21.5%, and 55.6% of the responses about ophthalmic multimodal images generated by GPT-4V(ision) were considered accurate, …
期刊介绍：
The British Journal of Ophthalmology (BJO) is an international peer-reviewed journal for ophthalmologists and visual science specialists. BJO publishes clinical investigations, clinical observations, and clinically relevant laboratory investigations related to ophthalmology. It also provides major reviews and also publishes manuscripts covering regional issues in a global context.
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