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艺术家与机器:评估ChatGPT在儿童创伤伤的抗菌管理中的有效性
Michael S Lebhar1, John B Phillips2, Gregory R Vance2
1From the Division of Plastic Surgery.
Southern medical journal
|November 5, 2025
概括
聊天生成预训练变压器 (ChatGPT) 有效地帮助儿童创伤伤的初始抗生素选择和病原体管理. 然而,它经常暗示不必要的后续治疗变化,需要进一步细化临床使用.
科学领域:
- 医疗信息学 医疗信息学
- 儿童传染病 儿童传染病
- 医疗保健中的人工智能
背景情况:
- 儿科患者受污染的创伤伤口带来了复杂的抗微生物管理挑战.
- 获得传染病 (ID) 咨询的机会可能有限,需要替代的决策支持工具.
研究的目的:
- 评估聊天生成预训练变压器 (ChatGPT) 在为儿科受污染的创伤伤口提供抗菌建议的准确性.
- 将ChatGPT的建议与儿科传染病 (ID) 团队的建议进行比较.
主要方法:
- 对三个患有严重创伤的儿科病例进行了回顾性分析.
- 查特GPT-4提供了临床数据,包括培养和易感性.
- 建议由儿科ID专家评估其适当性和病原体覆盖率.
主要成果:
- 聊天GPT提供了29条建议,其中41.4%被认为是适当的或与ID指南相同.
- 最初的抗生素选择和病原体特异性建议显示出高度适当性 (分别为100%和87.5%).
- 很大一部分 (77.8%) 的随访变更建议是不必要的或不正确的.
结论:
- 在资源有限的环境中,ChatGPT显示出作为初始抗微生物管理的补充工具的潜力.
- 该模型倾向于建议不必要的后续修改,需要在广泛临床采用之前进行改进.
- 需要进一步的研究和改进,以优化ChatGPT在儿科传染病管理中的实用性.
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