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Artificial Intelligence in Head and Neck Imaging.
Pham, Nancy; Ju, Connie; Kong, Tracie; Mukherji, Suresh K.
Afiliación
  • Pham N; Neuroradiology, Radiology Department, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA; Neuroradiology, Radiology Department, University of Illinois. Electronic address: pham.nancy@gmail.com.
  • Ju C; Neuroradiology, Radiology Department, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA.
  • Kong T; Neuroradiology, Radiology Department, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA.
  • Mukherji SK; Neuroradiology, Radiology Department, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA.
Semin Ultrasound CT MR ; 43(2): 170-175, 2022 Apr.
Article en En | MEDLINE | ID: mdl-35339257
ABSTRACT
Artificial intelligence (AI) can be applied to head and neck imaging to augment image quality and various clinical tasks including segmentation of tumor volumes, tumor characterization, tumor prognostication and treatment response, and prediction of metastatic lymph node disease. Head and neck oncology care is well positioned for the application of AI since treatment is guided by a wealth of information derived from CT, MRI, and PET imaging data. AI-based methods can integrate complex imaging, histologic, molecular, and clinical data to model tumor biology and behavior, and potentially identify associations, far beyond what conventional qualitative imaging can provide alone.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neoplasias de Cabeza y Cuello Tipo de estudio: Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: Semin Ultrasound CT MR Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neoplasias de Cabeza y Cuello Tipo de estudio: Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: Semin Ultrasound CT MR Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article
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