Urology

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

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Balancing accuracy and cost in machine learning models for detecting medial vascular calcification in chronic kidney disease: a pilot study.

Machine learning algorithms that integrate multiple biomarkers are increasingly used in disease dete...

Machine learning based clinical decision tool to predict acute kidney injury and survival in therapeutic hypothermia treated neonates.

Therapeutic hypothermia (TH) significantly reduces mortality and morbidities in neonates with Neonat...

Recognizing Epithelial Cells in Prostatic Glands Using Deep Learning.

Artificial intelligence (AI) is becoming an integral part of pathological assessment and diagnostic ...

Bridging the gap: Evaluating ChatGPT-generated, personalized, patient-centered prostate biopsy reports.

OBJECTIVE: The highly specialized language used in prostate biopsy pathology reports coupled with lo...

Investigating the Genetic Links Between Immune Cell Profiles and Bladder Cancer: A Multidisciplinary Bioinformatics Approach.

: Bladder cancer (BC) is a common malignancy in the urinary system, with an increasing incidence rat...

Machine Learning and Urinary Incontinence in Prostate Cancer: A Generalized Additive Model of Physical Activity and Recovery Patterns.

The ASCAPE project aims to improve the health-related quality of life of prostate cancer patients us...

Controlled Intervention Study on Effects of an AI-Based App to Support Wound Care: First Results.

The KIADEKU project combines datascience and the clinical expertise of wound experts to develop and ...

Using Machine Learning for the Fusion of Tumor Records on a Real-World Dataset.

Cancer registries collect multiple reports describing the same tumor, potentially leading to duplica...

Graph Neural Networks for Gleason Grading in Prostate Histopathology Images.

Prostate cancer is a leading cause of cancer-related deaths, with Gleason grading being key for asse...

A validated multivariable machine learning model to predict cardio-kidney risk in diabetic kidney disease.

BACKGROUND: Individuals with diabetic kidney disease (DKD) often suffer cardiac and kidney events. W...

Integrating bioinformatics and machine learning to identify glomerular injury genes and predict drug targets in diabetic nephropathy.

Diabetes mellitus (DM) is a chronic metabolic disorder that poses significant challenges to public h...

From Algorithms to Insight: The Transformative Power of Artificial Intelligence and Machine Learning in Urological Cancer Research.

As we advance into a new era of oncological science, artificial intelligence (AI) is no longer a per...

Predicting overactive bladder from inflammatory markers: A machine learning approach using NHANES 2005-2020.

Overactive bladder (OAB), a prevalent condition characterized by urgency and nocturia, imposes signi...

The gut microbiome and metabolome in children with a first febrile urinary tract infection: a pilot study.

BACKGROUND: Urinary tract infection (UTI) is a common bacterial infection in the pediatric populatio...

A sub-meter resolution urban surface albedo dataset for 34 U.S. cities based on deep learning.

Surface albedo is a key determinant of urban heat islands, which modulates the amount of solar energ...

Predictors and associations of complications in ureteroscopy for stone disease using AI: outcomes from the FLEXOR registry.

We aimed to develop machine learning(ML) algorithms to evaluate complications of flexible ureterosco...

Ab initio simulation of spin-vibronic spectra of methoxy radical.

Despite the fact that experimental and theoretical work on the spectrum of methoxy has stretched fro...

Emerging Biomarkers and Advanced Diagnostics in Chronic Kidney Disease: Early Detection Through Multi-Omics and AI.

Chronic kidney disease (CKD) remains a significant global health burden, often diagnosed at advanced...

Prediction of Glomerular Filtration Rate Following Partial Nephrectomy for Localized Renal Cell Carcinoma with Different Machine Learning Techniques.

: Partial nephrectomy (PN) is the preferred option for treating localized cT1 renal cell carcinoma (...

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