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Artificial Intelligence in Head and Neck Imaging: A Glimpse into the Future.
Werth, Kyle; Ledbetter, Luke.
Afiliación
  • Werth K; Department of Radiology, University of Kansas Medical Center, 3901 Rainbow Boulevard, Mailstop 4032, Kansas City, KS 66160, USA.
  • Ledbetter L; Department of Radiology, David Geffen School of Medicine at UCLA, 757 Westwood Plaza, Suite 1621D, Los Angeles, CA 90095, USA. Electronic address: lledbetter@mednet.ucla.edu.
Neuroimaging Clin N Am ; 30(3): 359-368, 2020 Aug.
Article en En | MEDLINE | ID: mdl-32600636
ABSTRACT
Artificial intelligence, specifically machine learning and deep learning, is a rapidly developing field in imaging sciences with the potential to improve the efficiency and effectiveness of radiologists. This review covers common technical terms and basic concepts in imaging artificial intelligence and briefly reviews the application of these techniques to general imaging as well as head and neck imaging. Artificial intelligence has the potential to contribute improvements to all areas of patient care, including image acquisition, processing, segmentation, automated detection of findings, integration of clinical information, quality improvement, and research. Numerous challenges remain, however, before widespread imaging clinical adoption and integration occur.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Tomografía Computarizada por Rayos X / Neoplasias de Cabeza y Cuello Límite: Humans Idioma: En Revista: Neuroimaging Clin N Am Asunto de la revista: DIAGNOSTICO POR IMAGEM / NEUROLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Tomografía Computarizada por Rayos X / Neoplasias de Cabeza y Cuello Límite: Humans Idioma: En Revista: Neuroimaging Clin N Am Asunto de la revista: DIAGNOSTICO POR IMAGEM / NEUROLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
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