Pilot Analysis of Surgeon Instrument Utilization Signatures Based on Shannon Entropy and Deep Learning for Surgeon Performance Assessment in a Cadaveric Carotid Artery Injury Control Simulation.

Balu, Alan; Pangal, Dhiraj J; Kugener, Guillaume; Donoho, Daniel A

Balu, Alan; Pangal, Dhiraj J; Kugener, Guillaume; Donoho, Daniel A.

Afiliação

Balu A; Department of Neurosurgery, Georgetown University School of Medicine, Washington , District of Columbia, USA.
Pangal DJ; Department of Neurosurgery, Keck School of Medicine of University of Southern California, Los Angeles , California , USA.
Kugener G; Department of Neurosurgery, Keck School of Medicine of University of Southern California, Los Angeles , California , USA.
Donoho DA; Division of Neurosurgery, Children's National Hospital, Washington , District of Columbia , USA.

Oper Neurosurg (Hagerstown) ; 25(6): e330-e337, 2023 Dec 01.

Article em En | MEDLINE | ID: mdl-37655892

Assuntos

Lesões das Artérias Carótidas; Aprendizado Profundo; Cirurgiões; Humanos; Entropia; Cadáver; Hemorragia

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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Lesões das Artérias Carótidas / Cirurgiões / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: Oper Neurosurg (Hagerstown) Ano de publicação: 2023 Tipo de documento: Article

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