Simple Summary The increasing interest in implementing artificial intelligence in radiomic
models has occurred alongside advancement in the tools used for computer-aided …

Simple Summary The integration of artificial intelligence (AI) into radiomic models has
become increasingly popular due to advances in computer-aided diagnosis tools. These …

Prostate cancer (PCa) is a pernicious tumor with high heterogeneity, which creates a
conundrum for making a precise diagnosis and choosing an optimal treatment approach …

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

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 …

In radiotherapy (RT) of prostate cancer, dose escalation has been shown to reduce
biochemical failure. Dose escalation only to determinate prostate tumor habitats has the …

Simple Summary Early diagnosing clinically significant prostate cancer (csPCa) through
Magnetic Resonance Imaging (MRI) is very challenging and, nowadays, csPCa confirmation …

Advances in our understanding of the role of magnetic resonance imaging (MRI) for the
detection of prostate cancer have enabled its integration into clinical routines in the past two …

The development of precise medical imaging has facilitated the establishment of radiomics,
a computer-based method of quantitatively analyzing subvisual imaging characteristics. The …

Background Radiomics promises to enhance the discriminative performance for clinically
significant prostate cancer (csPCa), but still lacks validation in real-life scenarios. This study …