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 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 …

Due to the upfront role of magnetic resonance imaging (MRI) for prostate cancer (PCa)
diagnosis, a multitude of artificial intelligence (AI) applications have been suggested to aid …

Although the emergence of multi-parametric magnetic resonance imaging (mpMRI) has had
a profound impact on the diagnosis of prostate cancers (PCa), analyzing these images …

Objectives We systematically reviewed the current literature evaluating the ability of fully-
automated deep learning (DL) and semi-automated traditional machine learning (TML) MRI …

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 …

Objectives Radiomics image data analysis offers promising approaches in research but has
not been implemented in clinical practice yet, partly due to the instability of many …

Simple Summary Radiologists interpret prostate multiparametric magnetic resonance
imaging (mpMRI) to identify abnormalities that may correspond to prostate cancer, whose …

Computer-aided diagnosis (CAD) of prostate cancer (PCa) using multiparametric magnetic
resonance imaging (mpMRI) is actively being investigated as a means to provide clinical …

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 …