The application of imaging biomarkers in oncology is still in its infancy, but with the
expansion of radiomics and radiogenomics a revolution is expected in this field. This may be …

Artificial intelligence has been emerging as an increasingly important aspect of our daily
lives and is widely applied in medical science. One major application of artificial intelligence …

We investigated the ability of machine-learning classifiers on radiomics from pre-treatment
multiparametric magnetic resonance imaging (MRI) to accurately predict human …

Purpose To devise, validate, and externally test PET/CT radiomics signatures for human
papillomavirus (HPV) association in primary tumors and metastatic cervical lymph nodes of …

While there has been an overall decline of tobacco and alcohol-related head and neck
cancer in recent decades, there has been an increased incidence of HPV-associated …

OBJECTIVE. This study aimed to explore the performance of machine learning (ML)-based
MRI texture analysis in discriminating between well-differentiated (WD) oral squamous cell …

CT, MRI, and FDG PET/CT play major roles in the diagnosis, staging, treatment planning,
and surveillance of head and neck cancers. Nonetheless, an evolving understanding of …

Objective To develop and test a machine learning model for classifying human
papillomavirus (HPV) status of patients with oropharyngeal squamous cell carcinoma …

Objectives To determine the feasibility of pre-treatment primary tumor FDG-PET and DWI-
MR imaging parameters in predicting HPV status and the second aim was to assess the …

BACKGROUND AND PURPOSE: Controversy exists as to whether ADC histograms are
capable to distinguish human papillomavirus–positive (HPV+) from human papillomavirus …