Development,Challenges and Alignments of Large Language Models in Healthcare
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.
large language models(LLMs)in healthcareartificial intelligence(AI)regulationLLMs alignment
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