Effect of an artificial intelligence tool on management decisions for indeterminate pulmonary nodules.

Kim, Roger Y; Oke, Jason L; Dotson, Travis L; Bellinger, Christina R; Vachani, Anil

Kim, Roger Y; Oke, Jason L; Dotson, Travis L; Bellinger, Christina R; Vachani, Anil.

Afiliação

Kim RY; Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Oke JL; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Dotson TL; Pulmonary, Critical Care, Allergy and Immunologic Diseases, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Bellinger CR; Pulmonary, Critical Care, Allergy and Immunologic Diseases, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Vachani A; Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Respirology ; 28(6): 582-584, 2023 06.

Article em En | MEDLINE | ID: mdl-37017091

Assuntos

Neoplasias Pulmonares; Nódulos Pulmonares Múltiplos; Humanos; Inteligência Artificial; Nódulos Pulmonares Múltiplos/diagnóstico por imagem; Nódulos Pulmonares Múltiplos/terapia; Neoplasias Pulmonares/diagnóstico; Neoplasias Pulmonares/terapia

Palavras-chave

artificial intelligence; clinical decision-making; lung neoplasms; risk assessment

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nódulos Pulmonares Múltiplos / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Respirology Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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