{"title":"Agentic Large Language Models for Healthcare: Current Progress and Future Opportunities","authors":"Han Yuan","doi":"10.1002/med4.70000","DOIUrl":null,"url":null,"abstract":"<p>Agentic large language models (LLMs) combine vanilla LLMs’ reasoning, planning, and reflecting acquired from vast pre-trained datasets with specialized tools to enhance problem-solving capabilities. To understand the current progress and future opportunities of agentic LLMs for healthcare, this commentary conducted a comprehensive literature search in PubMed and summarized key takeaways.\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":100913,"journal":{"name":"Medicine Advances","volume":"3 1","pages":"37-41"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/med4.70000","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medicine Advances","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/med4.70000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Agentic large language models (LLMs) combine vanilla LLMs’ reasoning, planning, and reflecting acquired from vast pre-trained datasets with specialized tools to enhance problem-solving capabilities. To understand the current progress and future opportunities of agentic LLMs for healthcare, this commentary conducted a comprehensive literature search in PubMed and summarized key takeaways.
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