Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male
population. The diagnosis, the identification of aggressive disease, and the post-treatment …

Radiomics is a promising and fast-develo** field within oncology that involves the mining
of quantitative high-dimensional data from medical images. Radiomics has the potential to …

Radiomics and genomics represent two of the most promising fields of cancer research,
designed to improve the risk stratification and disease management of patients with prostate …

Abstract Background and purpose Artificial Intelligence (AI) models in radiation therapy are
being developed with increasing pace. Despite this, the radiation therapy community has not …

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 …

Prostate cancer (PCa) is one of the most frequently diagnosed malignancies of men in the
world. Due to a variety of treatment options in different risk groups, proper diagnostic and …

There is a growing piece of evidence that artificial intelligence may be helpful in the entire
prostate cancer disease continuum. However, building machine learning algorithms robust …

We present the current clinical applications of radiomics in the context of prostate cancer
(PCa) management. Several online databases for original articles using a combination of …

Objective To identify which patient with prostate cancer (PCa) could safely avoid extended
pelvic lymph node dissection (ePLND) by predicting lymph node invasion (LNI), via a …

Purpose To develop and evaluate machine learning models based on MRI to predict
clinically significant prostate cancer (csPCa) and International Society of Urological …