Intraoperative tissue classification methods in orthopedic and neurological surgeries: A systematic review.

Massalimova, Aidana; Timmermans, Maikel; Esfandiari, Hooman; Carrillo, Fabio; Laux, Christoph J; Farshad, Mazda; Denis, Kathleen; Fürnstahl, Philipp

Massalimova, Aidana; Timmermans, Maikel; Esfandiari, Hooman; Carrillo, Fabio; Laux, Christoph J; Farshad, Mazda; Denis, Kathleen; Fürnstahl, Philipp.

Afiliação

Massalimova A; Research in Orthopedic Computer Science (ROCS), Balgrist Campus, University of Zurich, Zurich, Switzerland.
Timmermans M; KU Leuven, Campus Group T, BioMechanics (BMe), Smart Instrumentation Group, Leuven, Belgium.
Esfandiari H; Research in Orthopedic Computer Science (ROCS), Balgrist Campus, University of Zurich, Zurich, Switzerland.
Carrillo F; Research in Orthopedic Computer Science (ROCS), Balgrist Campus, University of Zurich, Zurich, Switzerland.
Laux CJ; Department of Orthopaedics, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Farshad M; Department of Orthopaedics, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Denis K; KU Leuven, Campus Group T, BioMechanics (BMe), Smart Instrumentation Group, Leuven, Belgium.
Fürnstahl P; Research in Orthopedic Computer Science (ROCS), Balgrist Campus, University of Zurich, Zurich, Switzerland.

Front Surg ; 9: 952539, 2022.

Article em En | MEDLINE | ID: mdl-35990097

Palavras-chave

artificial intelligence; intraoperative; neurological surgery; orthopedic surgery; systematic review; tissue classification

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Revista: Front Surg Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suíça

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