Exploring the Potential of Large Language Models in Neurology, Using Neurologic Localization as an Example

被引：1
|
作者：
Chiang, Chia-Chun [1 ]
Fries, Jason A. [2 ]
机构：
[1] Mayo Clin, Dept Neurol, Rochester, MN 55905 USA
[2] Stanford Univ, Stanford Ctr Biomed Informat Res, Palo Alto, CA USA
来源：
NEUROLOGY-CLINICAL PRACTICE | 2024年 / 14卷 / 03期
关键词：
D O I：
10.1212/CPJ.0000000000200311
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
The launch of ChatGPT, a chatbot based on a large language model (LLM) by OpenAI, in December 2022, has raised the public awareness of artificial intelligence (AI). Its ability to interact with users and finish various tasks with proper prompts has gained lots of popularity and created a paradigm shift in the field to explore the various use cases of generative AI-using AI to generate text, images, and music. Many researchers have explored how LLMs could be applied in health care, such as text summarization from the electronic health record,(1) drafting operation notes,(2) summarizing scientific literature,(3) extracting information from clinical notes,(4) and generating standardized test questions.(5)
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