Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …

Background Machine learning algorithms have been drawing attention at the joining of
pathology and radiology in prostate cancer research. However, due to their algorithmic …

Triple-negative breast cancer (TNBC) is a subset of breast cancer with an adverse prognosis
and significant tumor heterogeneity. Here, we extract quantitative radiomic features from …

Breast cancer is a heterogeneous disease consisting of a diverse set of genomic mutations
and clinical characteristics. The molecular subtypes of breast cancer are closely tied to …

Introduction Breast cancer has four distinct molecular subtypes which are discriminated
using gene expression profiling following biopsy. Radiogenomics is an emerging field which …

Background: Triple-negative breast cancer (TNBC) is a special type of breast cancer, its
tumor cell metastasis rate is much higher than other types, and at the same time has a high …

With the increasing demand for precision medicine in cancer patients, radiogenomics
emerges as a promising frontier. Radiogenomics is originally defined as a methodology for …

Rationale and Objectives Breast cancer is a highly complex heterogeneous disease.
Current validated prognostic factors (eg, histological grade, lymph node involvement …

Breast cancer is one of the most pervasive forms of cancer and its inherent intra-and inter-
tumor heterogeneity contributes towards its poor prognosis. Multiple studies have reported …

Triple-negative breast cancer (TNBC) accounts for 15–20% of all invasive breast cancer
subtypes. Owing to its clinical characteristics, such as the lack of effective therapeutic …