Artificial intelligence (AI) has exceptional potential to positively impact the field of radiation
oncology. However, large curated datasets-often involving imaging data and corresponding …

Opinion statement Head and neck cancers can be used as a paradigm for exploring “big
data” applications in oncology. Computational strategies derived from big data science hold …

Background Radiomics is the extraction of predefined mathematic features from medical
images for the prediction of variables of clinical interest. While some studies report …

Background Using high robust radiomic features in modeling is recommended, yet its impact
on radiomic model is unclear. This study evaluated the radiomic model's robustness and …

Purpose To perform radiomic analysis of primary tumors extracted from pretreatment
contrast‐enhanced computed tomography (CE‐CT) images for patients with oropharyngeal …

Background Infection with human papilloma virus (HPV) is one of the most relevant
prognostic factors in advanced oropharyngeal cancer (OPC) treatment. In this study we …

Simple Summary There is strong evidence that locally advanced human papillomavirus
positive (HPV+) oropharyngeal squamous cell carcinoma (OPSCC) carries a significantly …

Background Currently, selection of patients for sequential versus concurrent chemotherapy
and radiation regimens lacks evidentiary support and it is based on locally optimal decisions …

Purpose. The purpose of this study was to utilize a deep learning model with an advanced
inception module to automatically contour critical organs on the computed tomography (CT) …

Although cancer patients survive years after oncologic therapy, they are plagued with long-
lasting or permanent residual symptoms, whose severity, rate of development, and …