Urology

Latest AI and machine learning research in urology for healthcare professionals.

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Application of needle electrodes in resection of single bladder tumor.

BACKGROUND: Transurethral resection of bladder tumor is associated with some limitations when used i...

Multi-stain deep learning prediction model of treatment response in lupus nephritis based on renal histopathology.

The response of the kidney after induction treatment is one of the determinants of prognosis in lupu...

The Fallacy of Categorization in Urology: A Call for Continuous Thinking in the Era of Artificial Intelligence.

Categorization of patients according to their characteristics may simplify decision-making, but it f...

Survival prediction of glioblastoma patients using machine learning and deep learning: a systematic review.

Glioblastoma Multiforme (GBM), classified as a grade IV glioma by the World Health Organization (WHO...

Hope for the best prepare for the worst: acute kidney disease and catastrophic comorbidities (a case report).

It is evident that Acute Kidney Injury (AKI) is an independent risk factor for both the survival of ...

Recent Advances and Future Directions in Sonodynamic Therapy for Cancer Treatment.

Deep-tissue solid cancer treatment has a poor prognosis, resulting in a very low 5-year patient surv...

Detection of Human Bladder Epithelial Cancerous Cells with Atomic Force Microscopy and Machine Learning.

The development of noninvasive methods for bladder cancer identification remains a critical clinical...

Deep learning-based metabolomics data study of prostate cancer.

As a heterogeneous disease, prostate cancer (PCa) exhibits diverse clinical and biological features,...

A novel automated method for comprehensive renal cast quantification from rat kidney sections using QuPath.

The presence of tubular casts within the kidney serves as an important feature when assessing the de...

Liquid biopsy for Renal Cell Carcinoma: A comprehensive review of techniques, applications, and future prospects.

Liquid biopsy techniques have developed rapidly in recent years and demonstrated success in cancer d...

Urinary TYROBP and HCK as genetic biomarkers for non-invasive diagnosis and therapeutic targeting in IgA nephropathy.

BACKGROUND: IgA nephropathy (IgAN) is a leading cause of renal failure, but its pathogenesis remains...

Nonlinear relationship between serum Klotho and chronic kidney disease in US adults with metabolic syndrome.

BACKGROUND: Current evidence regarding the effects of serum Klotho among patients with metabolic syn...

Improving search strategies in bibliometric studies on machine learning in renal medicine.

This paper evaluated the bibliometric study by Li et al. (Int Urol Nephrol, 2024) on machine learnin...

Multi-branch CNNFormer: a novel framework for predicting prostate cancer response to hormonal therapy.

PURPOSE: This study aims to accurately predict the effects of hormonal therapy on prostate cancer (P...

Effectiveness, pharmacokinetics, and safety of triptorelin acetate microspheres in patients with locally advanced and metastatic prostate cancer.

BACKGROUND: A newly generic microspheres, sustained-release formulation of triptorelin acetate 3.75 ...

Machine learning for the prediction of mortality in patients with sepsis-associated acute kidney injury: a systematic review and meta-analysis.

BACKGROUND: Predicting mortality in sepsis-related acute kidney injury facilitates early data-driven...

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