Artificial Intelligence in Head and Neck Imaging.

Journal: Seminars in ultrasound, CT, and MR
Published Date: Feb 11, 2022

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.

Authors

  • Nancy Pham
    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.
  • Connie Ju
    Neuroradiology, Radiology Department, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA.
  • Tracie Kong
    Neuroradiology, Radiology Department, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA.
  • Suresh K Mukherji
    Neuroradiology, Radiology Department, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA.

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