Urology

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

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Development and external validation of a model for post-endoscopic retrograde cholangiopancreatography pancreatitis.

Post-endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis (PEP) is a common complicati...

Identification of Factors Affecting Prostate Cancer Using Machine Learning Methods: A Systematic Review.

BACKGROUND: Prostate cancer is identified as the second cause of malignancy worldwide and the fifth ...

Machine learning based identification of anoikis related gene classification patterns and immunoinfiltration characteristics in diabetic nephropathy.

Anoikis and immune cell infiltration are pivotal factors in the pathophysiological mechanism of diab...

Development and validation of a machine learning-based risk model for metastatic disease in nmCRPC patients: a tumor marker prognostic study.

BACKGROUND: Nonmetastatic castration-resistant prostate cancer (nmCRPC) is a clinical challenge due ...

Characterization of Effective Half-Life for Instant Single-Time-Point Dosimetry Using Machine Learning.

Single-time-point (STP) image-based dosimetry offers a more convenient approach for clinical practic...

Gender Authorship Among Urology Artificial Intelligence Publications: A 10-Year Retrospective Analysis.

We aim to characterize gender authorship in urology-related artificial intelligence (AI) research. A...

Artificial Intelligence in Prostate Cancer Diagnosis on Magnetic Resonance Imaging: Time for a New PARADIGM.

Artificial intelligence (AI) may provide a solution for improving access to expert, timely, and accu...

Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector.

Despite being one of the most prevalent cancers, prostate cancer (PCa) shows a significantly high su...

Feature selection for classification based on machine learning algorithms for prostate cancer.

Microarray technology has transformed the biotechnological research to next level in the recent year...

Deep learning for quality assessment of axial T2-weighted prostate MRI: a tool to reduce unnecessary rescanning.

BACKGROUND: T2-weighted images are a critical component of prostate magnetic resonance imaging (MRI)...

MED-NCA: Bio-inspired medical image segmentation.

The reliance on computationally intensive U-Net and Transformer architectures significantly limits t...

Implementing large language model and retrieval augmented generation to extract geographic locations of illicit transnational kidney trade.

BACKGROUND: Illicit kidney trade networks, operating globally, involve intricate interactions among ...

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study.

BACKGROUND: Persistent sepsis-associated acute kidney injury (SA-AKI) shows poor clinical outcomes a...

Intraocular lens calculation formula developed using artificial intelligence for ultrasonic biometry.

PURPOSE: We developed an artificial intelligence program for calculating intraocular lenses and anal...

Circulating miRNAs in genitourinary cancer: pioneering advances in early detection and diagnosis.

MicroRNAs (miRNAs) are noncoding, single-stranded RNAs molecules modulating gene expression thanks t...

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