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Current applications of algorithmic artificial intelligence in interventional radiology: A review of the literature.
O'Brien, Andrew J; Vrazas, John I; Clements, Warren.
Afiliação
  • O'Brien AJ; Department of Radiology, Radiation Oncology and Medical Physics, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
  • Vrazas JI; Melbourne Institute of Vascular and Interventional Radiology, Melbourne, Victoria, Australia.
  • Clements W; St. Vincent's Private Hospital Melbourne, Melbourne, Victoria, Australia.
J Med Imaging Radiat Oncol ; 68(2): 194-207, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38093615
ABSTRACT
Artificial intelligence is a rapidly evolving area of technology whose integration into healthcare delivery infrastructure is predicted to have profound implications for medicine delivery in the 21st century. Artificial intelligence as it relates to healthcare is a term used to cover a wide scope of computer-based algorithms whose application varies from patient selection to enhancements in imaging and postoperative prognostication. This article reviews the literature to contextualise how AI is currently being implemented in interventional radiology. This review considers the literature from a preoperative, intraoperative and postoperative perspective.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Radiologia Intervencionista Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Radiologia Intervencionista Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article