医学
基线(sea)
排名(信息检索)
梅德林
医疗保健
医学物理学
人工智能
计算机科学
政治学
法学
海洋学
经济增长
经济
地质学
作者
Mingjie Luo,Jianyu Pang,Shaowei Bi,Yunxi Lai,Jiaman Zhao,Yuanrui Shang,Tingxin Cui,Yahan Yang,Zhenzhe Lin,Lanqin Zhao,Xiaohang Wu,Duoru Lin,Jingjing Chen,Haotian Lin
出处
期刊:JAMA Ophthalmology
[American Medical Association]
日期:2024-07-18
卷期号:142 (9): 798-798
被引量:6
标识
DOI:10.1001/jamaophthalmol.2024.2513
摘要
Although augmenting large language models (LLMs) with knowledge bases may improve medical domain-specific performance, practical methods are needed for local implementation of LLMs that address privacy concerns and enhance accessibility for health care professionals.
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