Development,Challenges and Alignments of Large Language Models in Healthcare

VernacularTitle:医疗健康大语言模型的发展、挑战与对齐
Author: Tong LIU ^{1
,

2} ; Chengfeng HUANG ; Wen ZHANG
Author Information

1. 之江实验室发展战略与合作中心杭州 311121
2. 浙江省哲学社会科学实验室-之江实验室智能社会治理实验室杭州 311121
Keywords: large language models(LLMs)in healthcare; artificial intelligence(AI)regulation; LLMs alignment
From: Journal of Medical Informatics 2024;45(9):1-9,18
CountryChina
Language:Chinese
Abstract: Purpose/Significance The paper systematically reviews and analyzes the development,cutting-edge applications,chal-lenges and alignment issues of large language models(LLMs)in healthcare,so as to provide references for promoting the safe,effective and equitable application.Method/Process Through literature analysis,the development and application of LLMs in healthcare are ex-pounded,the challenges faced are analyzed,and countermeasures are proposed from the technical and social aspects.Result/Conclu-sion LLMs in healthcare should prioritize truthfulness,safety,interpretability,fairness,privacy and accountability to realize model align-ment,meet ethical requirements,and improve patients'welfare.