Large language models and artificial intelligence chatbots in vascular surgery

被引：0

作者：

Lareyre, Fabien ^{[1
,2
,3
]}

Nasr, Bahaa ^{[4
]}

Poggi, Elise ^{[1
]}

Di Lorenzo, Gilles ^{[1
]}

Ballaith, Ali ^{[5
]}

Sliti, Imen ^{[1
]}

Chaudhuri, Arindam ^{[6
]}

Raffort, Juliette ^{[2
,3
,7
,8
,9
]}

机构：

[1] Hosp Antibes Juan les Pins, Dept Vasc Surg, Antibes, France

[2] Univ Cote Azur, Ctr Natl Rech Sci CNRS, UMR7370, Lab Physiomed Mol LP2M, Nice, France

[3] Federat Hosp Univ FHU Plan & Go, Nice, France

[4] Univ Brest, Inst Natl Sante & Rech Med INSERM, IMT Atlantique, UMR 1011 LaTIM,Vasc & Endovasc Surg Dept,CHU Caval, Brest, France

[5] Zayed Mil Hosp, Dept Cardiovasc Surg, Abu Dhabi, U Arab Emirates

[6] Bedfordshire Hosp Natl Hlth Serv Fdn Trust, Bedfordshire Milton Keynes Vasc Ctr, Bedford, England

[7] Univ Hosp Nice, Clin Chem Lab, Nice, France

[8] Univ Cote Azur, Inst Cote Azur 3IA, Nice, France

[9] Hop Louis Pasteur, Dept Clin Biochem, Pavillon J,30,Ave Voie Romaine, F-06001 Nice 1, France

来源：

SEMINARS IN VASCULAR SURGERY | 2024年 / 7卷 / 03期

关键词：

Artificial intelligence; Natural language processing; Large language model; Chatbot; Vascular disease; Vascular surgery; EDUCATION;

D O I：

10.1053/j.semvascsurg.2024.06.001

中图分类号：

R61 [外科手术学];

学科分类号：

摘要：

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. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

引用

页码：314 / 320

页数：7

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