Renal cancer management is challenging from diagnosis to treatment and follow-up. In
cases of small renal masses and cystic lesions the differential diagnosis of benign or …

Radiomics and artificial intelligence (AI) may increase the differentiation of benign from
malignant kidney lesions, differentiation of angiomyolipoma (AML) from renal cell carcinoma …

Prostate cancer (PCa) is the most common male malignancy and the fifth leading cause of
cancer death in men worldwide. Prostate cancer cells are characterized by a hybrid …

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 …

Artificial intelligence is highly regarded as the most promising future technology that will
have a great impact on healthcare across all specialties. Its subsets, machine learning, deep …

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

Abstract Background Prostate cancer (PCa) is usually considered as cold tumor. Malignancy
is associated with cell mechanic changes that contribute to extensive cell deformation …

Introduction In the last decade, two new radionuclide-based therapies, 223Radichloride and
radioligand therapy (RLT) targeting prostate-specific membrane antigen (PSMA), have been …

Objective The purpose of this research was to develop a radiomics model that combines
several clinical features for preoperative prediction of the pathological grade of bladder …

Here, we aimed to develop and validate a fully automated artificial intelligence (AI)-based
method for the detection and quantification of suspected prostate tumour/local recurrence …