Current imaging of PE and emerging techniques: is there a role for artificial intelligence?

Azour, Lea; Ko, Jane P; Toussie, Danielle; Gomez, Geraldine Villasana; Moore, William H

Azour, Lea; Ko, Jane P; Toussie, Danielle; Gomez, Geraldine Villasana; Moore, William H.

Afiliación

Azour L; Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, United States of America. Electronic address: Lea.Azour@nyulangone.org.
Ko JP; Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, United States of America.
Toussie D; Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, United States of America.
Gomez GV; Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, United States of America.
Moore WH; Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, United States of America.

Clin Imaging ; 88: 24-32, 2022 Aug.

Article en En | MEDLINE | ID: mdl-35569280

Asunto(s)

Inteligencia Artificial; Embolia Pulmonar; Enfermedad Aguda; Estudios Transversales; Diagnóstico por Imagen; Humanos; Embolia Pulmonar/diagnóstico por imagen

Palabras clave

Artificial intelligence; CAD; CTPA; Dual energy; Pulmonary embolism

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Embolia Pulmonar / Inteligencia Artificial Tipo de estudio: Diagnostic_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Clin Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos

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