A clinician's guide to large language models

G. Briganti
{"title":"A clinician's guide to large language models","authors":"G. Briganti","doi":"10.2217/fmai-2023-0003","DOIUrl":null,"url":null,"abstract":"The rapid advancement of artificial intelligence (AI) has led to the emergence of large language models (LLMs) as powerful tools for various applications, including healthcare. These large-scale machine learning models, such as GPT and LLaMA have demonstrated potential for improving patient outcomes and transforming medical practice. However, healthcare professionals without a background in data science may find it challenging to understand and utilize these models effectively. This paper aims to provide an accessible introduction to LLMs for healthcare professionals, discussing their core concepts, relevant applications in healthcare, ethical considerations, challenges, and future directions. With an overview of LLMs, we foster a more collaborative future between healthcare professionals and data scientists, ultimately driving better patient care and medical advancements.","PeriodicalId":154874,"journal":{"name":"Future Medicine AI","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future Medicine AI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2217/fmai-2023-0003","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

The rapid advancement of artificial intelligence (AI) has led to the emergence of large language models (LLMs) as powerful tools for various applications, including healthcare. These large-scale machine learning models, such as GPT and LLaMA have demonstrated potential for improving patient outcomes and transforming medical practice. However, healthcare professionals without a background in data science may find it challenging to understand and utilize these models effectively. This paper aims to provide an accessible introduction to LLMs for healthcare professionals, discussing their core concepts, relevant applications in healthcare, ethical considerations, challenges, and future directions. With an overview of LLMs, we foster a more collaborative future between healthcare professionals and data scientists, ultimately driving better patient care and medical advancements.
大型语言模型的临床医生指南
人工智能(AI)的快速发展导致大型语言模型(llm)作为各种应用(包括医疗保健)的强大工具出现。这些大规模的机器学习模型,如GPT和LLaMA,已经证明了改善患者治疗结果和改变医疗实践的潜力。然而,没有数据科学背景的医疗保健专业人员可能会发现有效地理解和利用这些模型具有挑战性。本文旨在为医疗保健专业人员提供一个可访问的llm介绍,讨论其核心概念,在医疗保健中的相关应用,道德考虑,挑战和未来方向。通过对法学硕士的概述,我们在医疗保健专业人员和数据科学家之间建立了一个更加协作的未来,最终推动更好的患者护理和医学进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信