Medical image processing and analysis (also known as Radiomics) is a rapidly growing
discipline that maps digital medical images into quantitative data, with the end goal of …

Radiomics is a recent area of research in precision medicine and is based on the extraction
of a large variety of features from medical images. In the field of radiation oncology …

Background Because responses of patients with cancer to immunotherapy can vary in
success, innovative predictors of response to treatment are urgently needed to improve …

Objectives To identify an imaging signature predicting local recurrence for locally advanced
cervical cancer (LACC) treated by chemoradiation and brachytherapy from baseline 18 F …

Purpose Noticing the fast growing translation of artificial intelligence (AI) technologies to
medical image analysis this paper emphasizes the future role of the medical physicist in this …

Lung cancer's radiomic phenotype may potentially inform clinical decision-making with
respect to radical radiotherapy. At present there are no validated biomarkers available for …

Strong rationale and a growing number of preclinical and clinical studies support combining
radiotherapy and immunotherapy to improve patient outcomes. However, several critical …

Background The development and clinical adoption of quantitative imaging biomarkers
(radiomics) has established the need for the identification of parameters altering radiomics …

Introductions Identifying patients with non-small cell lung cancer (NSCLC) who are optimal
candidates for immunotherapy is a cornerstone in clinical decision-making. The tumor …

Artificial intelligence (AI) has emerged as a crucial technique for extracting high‑throughput
information from various sources, including medical images, pathological images, and …