Accurate prediction of recurrence and progression in non-muscle invasive bladder cancer
(NMIBC) is essential to inform management and eligibility for clinical trials. Despite …

Simple Summary Non-muscle-invasive bladder cancer is associated with its high rates of
progression and recurrence, the proper diagnosis and management can save lives. Bladder …

Simple Summary The diagnosis and prediction of prognosis for bladder cancer (BC) can be
challenging because of the subjective nature of pathological evaluation. Artificial …

Introduction The objective of this systematic review is to summarize the use of machine
learning (ML) in predicting overall survival (OS) in patients with bladder cancer. Methods …

Bladder cancer (BC) is the sixth leading cancer diagnosed in the United States and the
fourth among males. 1 In 2022, there were an estimated 81,180 new cases in the United …

Despite being standard tools for decision-making, the European Organisation for Research
and Treatment of Cancer (EORTC), European Association of Urology (EAU), and Club …

Bladder cancer (BCa) is one of the most diagnosed urological malignancies. A timely and
accurate diagnosis is crucial at the first assessment as well as at the follow up after curative …

Artificial intelligence (AI) and machine learning (ML) have emerged as powerful tools in the
diagnosis and treatment of bladder cancer, offering significant advancements in accuracy …

BCa prognosis could be better assessed using artificial intelligence models not only in the
case of MIBC but also NMIBC. Many studies evaluated its role for the prediction of overall …

METHODS Comprehensive searches based on the concepts of “AI” and “urothelial cancer”
were conducted in MEDLINE, EMBASE, Web of Science, and Scopus. Study selection and …