Urology

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

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Automated engineered-stone silicosis screening and staging using Deep Learning with X-rays.

Silicosis, a debilitating occupational lung disease caused by inhaling crystalline silica, continues...

Multi-level feature fusion network for kidney disease detection.

Kidney irregularities pose a significant public health challenge, often leading to severe complicati...

Deep Learning Algorithms to Predict Differential Renal Function <40% in Unilateral Hydronephrosis Based on Key Parameters of Urinary Tract Ultrasound.

OBJECTIVE: To identify the correlation between ultrasound findings and the incidence of differential...

Artificial intelligence-enhanced interpretation of kidney transplant biopsy: focus on rejection.

PURPOSE OF REVIEW: The objective of this review is to provide an update on the application of artifi...

SNER: Semi-Supervised Named Entity Recognition for Large Volume of Diabetes Data.

The medical literature and records on diabetes provide crucial resources for diabetes prevention and...

MSMTSeg: Multi-Stained Multi-Tissue Segmentation of Kidney Histology Images via Generative Self-Supervised Meta-Learning Framework.

Accurately diagnosing chronic kidney disease requires pathologists to assess the structure of multip...

Identification of key genes regulating colorectal cancer stem cell characteristics by bioinformatics analysis.

Cancer stem cells (CSCs), distinguished by their abilities to differentiate and self-renew, play a p...

Deep learning network enhances imaging quality of low-b-value diffusion-weighted imaging and improves lesion detection in prostate cancer.

BACKGROUND: Diffusion-weighted imaging with higher b-value improves detection rate for prostate canc...

Dose calculation in nuclear medicine with magnetic resonance imaging images using Monte Carlo method.

In recent years, scientists have been trying to convert magnetic resonance imaging (MRI) images into...

ORAKLE: Optimal Risk prediction for mAke30 in patients with sepsis associated AKI using deep LEarning.

BACKGROUND: Major Adverse Kidney Events within 30 days (MAKE30) is an important patient-centered out...

Exploring treatment effects and fluid resuscitation strategies in septic shock: a deep learning-based causal inference approach.

Septic shock exhibits diverse etiologies and patient characteristics, necessitating tailored fluid m...

Advancing Natural Orbital Functional Calculations through Deep Learning-Inspired Techniques for Large-Scale Strongly Correlated Electron Systems.

Natural orbital functional (NOF) theory provides a valuable framework for studying strongly correlat...

Bladder lesion detection using EfficientNet and hybrid attention transformer through attention transformation.

Bladder cancer diagnosis is a challenging task because of its intricacy and variation of tumor featu...

Machine Learning-Guided Cobalt@Copper Dual-Metal Electrochemical Sensor for Urinary Creatinine Detection.

By utilizing the synergistic effects of a dual-metal cobalt@copper electrode and advanced machine le...

Improved CKD classification based on explainable artificial intelligence with extra trees and BBFS.

Chronic kidney disease is a persistent ailment marked by the gradual decline of kidney function. Its...

Evaluating an AI Chatbot "Prostate Cancer Info" for Providing Quality Prostate Cancer Screening Information: Cross-Sectional Study.

BACKGROUND: Generative artificial intelligence (AI) chatbots may be useful tools for supporting shar...

Artificial Intelligence and Novel Technologies for the Diagnosis of Upper Tract Urothelial Carcinoma.

: Upper tract urothelial carcinoma (UTUC) is one of the most underdiagnosed but, at the same time, o...

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