Urology

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

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AI-generated questions for urological competency assessment: a prospective educational study.

BACKGROUND: The integration of artificial intelligence (AI) in medical education assessment remains ...

A population based optimization of convolutional neural networks for chronic kidney disease prediction.

Chronic kidney disease (CKD) is a global public health concern, and the timely detection of the dise...

Advancing Cardiovascular, Kidney, and Metabolic Medicine: A Narrative Review of Insights and Innovations for the Future.

Cardiovascular, kidney and metabolic (CKM) conditions are interrelated, significantly contributing t...

Timing of kidney replacement therapy in critically ill patients: A call to shift the paradigm in the era of artificial intelligence.

Acute kidney injury (AKI) is a common condition in intensive care units (ICUs) and is associated wit...

Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments.

Prostate Stereotactic Ablative Body Radiotherapy (SABR) is an ultra-hypofractionated treatment where...

A machine learning toolkit assisted approach for IMRT fluence map optimization: feasibility and advantages.

. Traditional machine learning (ML) and deep learning (DL) applications in treatment planning rely o...

A semi-supervised prototypical network for prostate lesion segmentation from multimodality MRI.

Prostate lesion segmentation from multiparametric magnetic resonance images is particularly challeng...

Comparison of artificial intelligence-generated and physician-generated patient education materials on early diabetic kidney disease.

BACKGROUND: Diabetic kidney disease (DKD) is a common and serious complication of diabetes mellitus ...

Artificial intelligence to predict cancer risk, are we there yet? A comprehensive review across cancer types.

Cancer remains the second leading cause of death worldwide, representing a substantial challenge to ...

Coptidis rhizoma and berberine as anti-cancer drugs: A 10-year updates and future perspectives.

Cancer continues to be among the most substantial health challenges globally. Among various natural ...

Explainable machine learning for predicting lung metastasis of colorectal cancer.

Patients with lung metastasis of colorectal cancer typically have a poor prognosis. Therefore, estab...

Network meta-analysis of intraocular lens power calculation formulas based on artificial intelligence in short eyes.

PURPOSE: To systematically assess and compare the accuracy of artificial intelligence (AI) -based in...

Machine learning-based characterization of stemness features and construction of a stemness subtype classifier for bladder cancer.

BACKGROUND: Bladder cancer (BLCA) is a highly heterogeneous disease that presents challenges in pred...

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