Simple Summary Our study provides an overview of the current state of artificial intelligence
applications in urooncology and explores potential future advancements in this field. With …

Radiomics integrated with artificial intelligence offers a pioneering approach to urologic
oncology, ushering in an era of enhanced diagnostic precision and reduced invasiveness …

Background Stroke, a leading global cause of mortality and neurological disability, is often
associated with atherosclerotic carotid artery disease. Distinguishing between symptomatic …

Identification of clinically positive pelvic lymph node metastases (cN+) in patients with
muscle-invasive bladder cancer is currently challenging, as the diagnostic accuracy of …

Bladder cancer (BC) is a serious and common malignant tumor of the urinary system.
Accurate and convenient diagnosis and treatment of BC is a major challenge for the medical …

Background: Cardiovascular disease affects the carotid arteries, coronary arteries, aorta and
the peripheral arteries. Radiomics involves the extraction of quantitative data from imaging …

Accurate and efficient segmenting of vertebral bodies, muscles, and discs is crucial for
analyzing various spinal diseases. However, traditional methods are either laborious and …

Bladder cancer (BCa) is the fourth most common cancer in men and one of the most
common urinary tract cancers, especially in developed countries. The aim of this paper is to …

Purpose: To precisely evaluate bladder cancer (BCa) lymph node (LN) status, we proposed
a deep radiomics model that combines local and global information on the contrast …

The current European Association of Urology guidelines for nonmetastatic renal cell
carcinoma (RCC) state that “In patients with clinically enlarged lymph nodes (LNs), perform …