评估ChatGPT-4omni在儿科发育筛查中的作用:直接提示与顺序提示

IF 2.6 4区 医学 Q2 PEDIATRICS BMJ Paediatrics Open Pub Date : 2025-03-03 DOI:10.1136/bmjpo-2024-002809
Pathrada Traipidok, Papichaya Srisombundit, Nattaporn Tassanakijpanich, Pattra Charleowsak, Therdpong Thongseiratch
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引用次数: 0

摘要

将ChatGPT-4omni (chatgpt - 40)等大型语言模型整合到儿科医疗保健中,可能会彻底改变发育筛查。本研究比较了chatgpt - 40在使用直接提示和顺序提示方法进行儿童发育筛查中的效果,并与Bayley婴儿发育量表第三版进行了比较。106例患儿中,直接提示的敏感性为73.42%,总体准确率为69.81%;顺序提示的特异性为62.96%,总体准确率为67.92%。这两种方法都显示出提高儿科发育筛查效率和可及性的潜力,直接提示更敏感,顺序提示更具体。
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Evaluating ChatGPT-4omni in paediatric developmental screening: direct versus sequential prompts.

Integrating Large Language Models like ChatGPT-4omni (ChatGPT-4o) into paediatric healthcare could revolutionise developmental screening. This study evaluated ChatGPT-4o's efficacy in paediatric developmental screening using Direct and Sequential Prompting methods compared with the Bayley Scales of Infant Development, Third Edition. Among 106 paediatric cases, Direct Prompting showed a sensitivity of 73.42% and overall accuracy of 69.81%, while Sequential Prompting had a specificity of 62.96% and overall accuracy of 67.92%. Both methods demonstrate potential for improving the efficiency and accessibility of paediatric developmental screening, with Direct Prompts being more sensitive and Sequential Prompts more specific.

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来源期刊
BMJ Paediatrics Open
BMJ Paediatrics Open Medicine-Pediatrics, Perinatology and Child Health
CiteScore
4.10
自引率
3.80%
发文量
124
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