A multitude of studies have explored the role of artificial intelligence (AI) in providing
diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection …

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 …

Background Radiomics have the potential to further increase the value of MRI in prostate
cancer management. However, implementation in clinical practice is still far and concerns …

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 …

Background Gleason score (GS) is a histologic prognostic factor and the basis of treatment
decision‐making for prostate cancer (PCa). Treatment regimens between lower‐grade …

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 …

Objectives To create a radiomics approach based on multiparametric magnetic resonance
imaging (mpMRI) features extracted from an auto-fixed volume of interest (VOI) that …

Abstract Purpose 68 Ga-PSMA PET/CT has high specificity and sensitivity for the detection
of both intraprostatic tumor focal lesions and metastasis. However, approximately 10% of …

Prostate cancer (PCa) faces great challenges in early diagnosis, which often leads not only
to unnecessary, invasive procedures, but to over-diagnosis and treatment as well, thus …