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Artificial intelligence for the vascular surgeon.
Asaadi, Sina; Martins, Kevin N; Lee, Mary M; Pantoja, Joe Luis.
Afiliação
  • Asaadi S; Veterans Administration Loma Linda Healthcare System, 11201 Benton Street, Mail Code 112, Loma Linda, CA 92357.
  • Martins KN; Loma Linda University, School of Medicine, Loma Linda, CA.
  • Lee MM; Veterans Administration Loma Linda Healthcare System, 11201 Benton Street, Mail Code 112, Loma Linda, CA 92357.
  • Pantoja JL; Veterans Administration Loma Linda Healthcare System, 11201 Benton Street, Mail Code 112, Loma Linda, CA 92357. Electronic address: joe.pantoja@va.gov.
Semin Vasc Surg ; 36(3): 394-400, 2023 Sep.
Article em En | MEDLINE | ID: mdl-37863611
ABSTRACT
In recent years, artificial intelligence (AI) has permeated different aspects of vascular surgery to solve challenges in clinical practice. Although AI in vascular surgery is still in its early stages, there have been promising developments in its applications to vascular diagnosis, risk stratification, and outcome prediction. By establishing a baseline knowledge of AI, vascular surgeons are better equipped to use and interpret the data from these types of projects. This review aims to provide an overview of the fundamentals of AI and highlight its role in helping vascular surgeons overcome the challenges of clinical practice. In addition, we discuss the limitations of AI and how they affect AI applications.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Especialidades Cirúrgicas / Cirurgiões Limite: Humans Idioma: En Revista: Semin Vasc Surg Assunto da revista: ANGIOLOGIA Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Especialidades Cirúrgicas / Cirurgiões Limite: Humans Idioma: En Revista: Semin Vasc Surg Assunto da revista: ANGIOLOGIA Ano de publicação: 2023 Tipo de documento: Article