Artificial Intelligence in Head and Neck Surgery.

Journal: Otolaryngologic clinics of North America
Published Date:

Abstract

This article explores artificial intelligence's (AI's) role in otolaryngology for head and neck cancer diagnosis and management. It highlights AI's potential in pattern recognition for early cancer detection, prognostication, and treatment planning, primarily through image analysis using clinical, endoscopic, and histopathologic images. Radiomics is also discussed at length, as well as the many ways that radiologic image analysis can be utilized, including for diagnosis, lymph node metastasis prediction, and evaluation of treatment response. The study highlights AI's promise and limitations, underlining the need for clinician-data scientist collaboration to enhance head and neck cancer care.

Authors

  • Jamie Oliver
    Department of Otolaryngology-Head and Neck Surgery, University of Kansas School of Medicine, 3901 Rainbow Boulevard M.S. 3010, Kansas City, KS, USA.
  • Rahul Alapati
    Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania.
  • Jason Lee
    Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA; School of Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • AndrĂ©s Bur
    Department of Otolaryngology-Head and Neck Surgery, University of Kansas Medical Centre, Kansas City, Kansas, USA.