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The Promise of Artificial Intelligence-Assisted Point-of-Care Ultrasonography in Perioperative Care.
Serrano, Ricardo A; Smeltz, Alan M.
Afiliação
  • Serrano RA; University of North Carolina School of Medicine, Chapel Hill, NC. Electronic address: ric_serrano@med.unc.edu.
  • Smeltz AM; University of North Carolina School of Medicine, Chapel Hill, NC.
J Cardiothorac Vasc Anesth ; 38(5): 1244-1250, 2024 May.
Article em En | MEDLINE | ID: mdl-38402063
ABSTRACT
The role of point-of-care ultrasonography in the perioperative setting has expanded rapidly over recent years. Revolutionizing this technology further is integrating artificial intelligence to assist clinicians in optimizing images, identifying anomalies, performing automated measurements and calculations, and facilitating diagnoses. Artificial intelligence can increase point-of-care ultrasonography efficiency and accuracy, making it an even more valuable point-of-care tool. Given this topic's importance and ever-changing landscape, this review discusses the latest trends to serve as an introduction and update in this area.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Sistemas Automatizados de Assistência Junto ao Leito Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Sistemas Automatizados de Assistência Junto ao Leito Idioma: En Ano de publicação: 2024 Tipo de documento: Article