Artificial Intelligence and Machine Learning in Lung Cancer Screening.

Adams, Scott J; Mikhael, Peter; Wohlwend, Jeremy; Barzilay, Regina; Sequist, Lecia V; Fintelmann, Florian J

Adams, Scott J; Mikhael, Peter; Wohlwend, Jeremy; Barzilay, Regina; Sequist, Lecia V; Fintelmann, Florian J.

Afiliación

Adams SJ; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Mikhael P; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA, USA.
Wohlwend J; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA, USA.
Barzilay R; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA, USA.
Sequist LV; Department of Medicine, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA; Harvard Medical School, Boston, MA, USA. Electronic address: lvsequist@partners.org.
Fintelmann FJ; Harvard Medical School, Boston, MA, USA; Department of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA. Electronic address: fintelmann@mgh.harvard.edu.

Thorac Surg Clin ; 33(4): 401-409, 2023 Nov.

Article en En | MEDLINE | ID: mdl-37806742

Asunto(s)

Detección Precoz del Cáncer; Neoplasias Pulmonares; Humanos; Inteligencia Artificial; Neoplasias Pulmonares/diagnóstico por imagen; Aprendizaje Automático; Tomografía Computarizada por Rayos X

Palabras clave

Artificial intelligence; Lung cancer screening; Lung nodule detection; Machine learning; Opportunistic screening; Risk prediction

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Detección Precoz del Cáncer / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Thorac Surg Clin Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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