Bladder cancer remains a leading cause of cancer death worldwide and is associated with
substantial impacts on patient quality of life, morbidity, mortality, and cost to the healthcare …

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 …

Artificial Intelligence (AI) has made significant strides in revolutionizing cancer care,
encompassing various aspects from diagnosis to prevention and beyond. With its ability to …

Simple Summary The clinical management of bladder cancer has been developing in the
past decade, including diagnostic tools and treatment options. Both monotherapy and …

The rapid development of artificial intelligence (AI) technologies in the context of the vast
amount of collectable data obtained from high-throughput sequencing has led to an …

Heat shock protein family A (HSP70) member 5 (HSPA5) is aberrantly expressed in various
tumors and closely associated with the progression and prognosis of cancer. Nevertheless …

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 …

Simple Summary In canine urothelial carcinoma, the BRAF gene is frequently mutated
(V595E). To detect this mutation, urine or tissue samples are currently tested by PCR …

Background: Detection of bladder tumors under white light cystoscopy (WLC) is challenging
yet impactful on treatment outcomes. Artificial intelligence (AI) holds the potential to improve …

Bladder cancer patients' stratification into risk groups relies on grade, stage and clinical
factors. For non-muscle invasive bladder cancer, T1 tumours that invade the subepithelial …