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未来的愿景:眼科医学的大型语言模型

Prashant D Tailor¹, Haley S D'Souza¹, Hanzhou Li²

¹Department of Ophthalmology, Mayo Clinic, Rochester, Minnesota.

Current opinion in ophthalmology

|May 30, 2024

概括

大型语言模型 (LLM) 在眼科中显示出患者沟通和诊断的前景. 在临床整合之前,由于潜在的危害和数据隐私问题,需要严格的安全测试.

科学领域:

眼科医生眼科眼科
人工智能的人工智能
医疗信息学医疗信息学

背景情况:

大型语言模型 (LLM) 正在越来越多地影响各种医学领域.
它们在眼科中的应用范围从患者的互动到临床决策.

研究的目的:

审查LLM在眼科中的不断变化的作用.
专注于当前的应用和未来的潜力,以提高眼科护理.

主要方法:

在眼科LLM应用的文献综述.
分析已证明的潜力和发现的挑战.

主要成果:

在改善患者沟通和初步诊断方面,LLM显示出潜力.
人们对潜在的危害存在担忧,缺乏现实世界的安全性/有效性研究.

结论:

眼科LLM应用在很大程度上是理论性的,需要安全验证.
数据隐私和用户接受是临床整合的关键挑战.

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