Utilizing Artificial Intelligence for Head and Neck Cancer Outcomes Prediction From Imaging

Head and Neck Cancer
01/08/2020

Can Assoc Radiol J. 2020 Jul 31:846537120942134. doi: 10.1177/0846537120942134. Online ahead of print.

ABSTRACT

Artificial intelligence (AI)-based models have become a growing area of interest in predictive medicine and have the potential to aid physician decision-making to improve patient outcomes. Imaging and radiomics play an increasingly important role in these models. This review summarizes recent developments in the field of radiomics for AI in head and neck cancer. Prediction models for oncologic outcomes, treatment toxicity, and pathological findings have all been created. Exploratory studies are


promising; however, validation studies that demonstrate consistency, reproducibility, and prognostic impact remain uncommon. Prospective clinical trials with standardized procedures are required for clinical translation.