Fabien Lareyre , Bahaa Nasr , Elise Poggi , Gilles Di Lorenzo , Ali Ballaith , Imen Sliti , Arindam Chaudhuri , Juliette Raffort
{"title":"Large language models and artificial intelligence chatbots in vascular surgery","authors":"Fabien Lareyre , Bahaa Nasr , Elise Poggi , Gilles Di Lorenzo , Ali Ballaith , Imen Sliti , Arindam Chaudhuri , Juliette Raffort","doi":"10.1053/j.semvascsurg.2024.06.001","DOIUrl":null,"url":null,"abstract":"<div><p><span>Natural language processing is a subfield of artificial intelligence that aims to analyze human oral or written language<span>. The development of large language models has brought innovative perspectives in medicine, including the potential use of chatbots and virtual assistants. Nevertheless, the benefits and pitfalls of such technology need to be carefully evaluated before their use in health care. The aim of this narrative review was to provide an overview of potential applications of large language models and artificial intelligence chatbots in the field of </span></span>vascular surgery, including clinical practice, research, and education. In light of the results, we discuss current limits and future directions.</p></div>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0895796724000346","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Natural language processing is a subfield of artificial intelligence that aims to analyze human oral or written language. The development of large language models has brought innovative perspectives in medicine, including the potential use of chatbots and virtual assistants. Nevertheless, the benefits and pitfalls of such technology need to be carefully evaluated before their use in health care. The aim of this narrative review was to provide an overview of potential applications of large language models and artificial intelligence chatbots in the field of vascular surgery, including clinical practice, research, and education. In light of the results, we discuss current limits and future directions.