Large language models and artificial intelligence chatbots in vascular surgery.

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

Journal

Seminars in vascular surgery
ISSN: 1558-4518
Titre abrégé: Semin Vasc Surg
Pays: United States
ID NLM: 8809602

Informations de publication

Date de publication:
Sep 2024
Historique:
received: 30 04 2024
revised: 12 06 2024
accepted: 14 06 2024
medline: 15 9 2024
pubmed: 15 9 2024
entrez: 14 9 2024
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 39277347
pii: S0895-7967(24)00034-6
doi: 10.1053/j.semvascsurg.2024.06.001
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

314-320

Informations de copyright

Copyright © 2024 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article.

Auteurs

Fabien Lareyre (F)

Department of Vascular Surgery, Hospital of Antibes Juan-les-Pins, France; Université Côte d'Azur, Centre National de la Recherche Scientifique (CNRS), UMR7370, Laboratoire de Physiomédecine Moléculaire (LP2M), Nice, France; Fédération Hospitalo-Universitaire FHU Plan & Go, Nice, France.

Bahaa Nasr (B)

University of Brest, Institut National de la Santé et de la Recherche Médicale (INSERM), IMT-Atlantique, UMR 1011 LaTIM, Vascular and Endovascular Surgery Department, CHU Cavale Blanche, Brest, France.

Elise Poggi (E)

Department of Vascular Surgery, Hospital of Antibes Juan-les-Pins, France.

Gilles Di Lorenzo (GD)

Department of Vascular Surgery, Hospital of Antibes Juan-les-Pins, France.

Ali Ballaith (A)

Department of Cardiovascular Surgery, Zayed Military Hospital, Abu Dhabi, United Arab Emirates.

Imen Sliti (I)

Department of Vascular Surgery, Hospital of Antibes Juan-les-Pins, France.

Arindam Chaudhuri (A)

Bedfordshire - Milton Keynes Vascular Centre, Bedfordshire Hospitals, National Health Service Foundation Trust, Bedford, UK.

Juliette Raffort (J)

Université Côte d'Azur, Centre National de la Recherche Scientifique (CNRS), UMR7370, Laboratoire de Physiomédecine Moléculaire (LP2M), Nice, France; Fédération Hospitalo-Universitaire FHU Plan & Go, Nice, France; Clinical Chemistry Laboratory, University Hospital of Nice, France; Institute 3IA Côte d'Azur, Université Côte d'Azur, France; Department of Clinical Biochemistry, Hôpital Pasteur, Pavillon J, 30, Avenue de la Voie Romaine, 06001 Nice cedex 1, France. Electronic address: raffort-lareyre.j@chu-nice.fr.

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Classifications MeSH