Urology

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

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Estimating AChE inhibitors from MCE database by machine learning and atomistic calculations.

Acetylcholinesterase (AChE) is one of the most successful targets for the treatment of Alzheimer's d...

Exploring the role of Artificial Intelligence in Acute Kidney Injury management: a comprehensive review and future research agenda.

This study reviews the studies utilizing Artificial Intelligence (AI) and AI-driven tools and method...

TC-Sniffer: A Transformer-CNN Bibranch Framework Leveraging Auxiliary VOCs for Few-Shot UBC Diagnosis via Electronic Noses.

Utilizing electronic noses (e-noses) with pattern recognition algorithms offers a promising noninvas...

A machine learning model for predicting worsening renal function using one-year time series data in patients with type 2 diabetes.

BACKGROUND AND AIMS: To prevent end-stage renal disease caused by diabetic kidney disease, we create...

Protocol to calculate and compare exact Shapley values for different kernels in support vector machine models using binary features.

The Shapley value formalism from cooperative game theory was adapted to explain predictions of machi...

Accuracy of 7 Artificial Intelligence-Based Intraocular Lens Power Calculation Formulas in Extremely Long Caucasian Eyes.

PURPOSE: To compare 7 artificial intelligence (AI)-based intraocular lens (IOL) power calculation fo...

A Novel Machine Learning-based Predictive Model of Clinically Significant Prostate Cancer and Online Risk Calculator.

OBJECTIVE: To create a machine-learning predictive model combining prostate imaging-reporting and da...

Investigating Ligand-Mediated Conformational Dynamics of Pre-miR21: A Machine-Learning-Aided Enhanced Sampling Study.

MicroRNAs (miRs) are short, noncoding RNA strands that regulate the activity of mRNAs by affecting t...

Impact of different nephrectomy types on M0 renal cell carcinoma outcomes in a propensity score matching and deep learning study.

There are few analyses comparing complete nephrectomy with resection of the renal parenchyma only (C...

Artificial intelligence in robot-assisted radical prostatectomy: where do we stand today?

BACKGROUND: The development of Artificial Intelligence (AI) is one of the most revolutionary changes...

Evaluating the effectiveness of AI-powered UrologiQ's in accurately measuring kidney stone volume in urolithiasis patients.

Kidney stones and urolithiasis are kidney diseases that have a significant impact on health and well...

IoT based healthcare system using fractional dung beetle optimization enabled deep learning for breast cancer classification.

Breast cancer classification plays a crucial role in healthcare, especially in the diagnosis and mon...

Development and validation of a prediction model for ED using machine learning: according to NHANES 2001-2004.

Erectile Dysfunction (ED) is a form of sexual dysfunction in males that imposes significant health a...

Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney.

Automated blood vessel segmentation is critical for biomedical image analysis, as vessel morphology ...

A machine learning-based analysis for the definition of an optimal renal biopsy for kidney cancer.

OBJECTIVE: Renal Tumor biopsy (RTB) can assist clinicians in determining the most suitable approach ...

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