Urology

mCNN-glucose: Identifying families of glucose transporters using a deep convolutional neural network based on multiple-scanning windows.

Glucose transporters are essential carrier proteins that function on the phospholipid bilayer to fac...

Machine learning-based interpretation of non-contrast feature tracking strain analysis and T1/T2 mapping for assessing myocardial viability.

Assessing myocardial viability is crucial for managing ischemic heart disease. While late gadolinium...

Unsupervised self-organising map classification of Raman spectra from prostate cell lines uncovers substratified prostate cancer disease states.

Prostate cancer is a disease which poses an interesting clinical question: Should it be treated? Onl...

Preoperative prediction of the selection of the NOTES approach for patients with symptomatic simple renal cysts via an interpretable machine learning model: a retrospective study of 264 patients.

BACKGROUND: There are multiple surgical approaches for treating symptomatic simple renal cysts (SSRC...

Predicting intermediate-risk prostate cancer using machine learning.

PURPOSES: Intermediate-risk prostate cancer (IR PCa) is the most common risk group for localized pro...

Deep eutectic solvent-modified polyvinyl alcohol/chitosan thin film membrane for dye adsorption: Machine learning modeling, experimental, and density functional theory calculations.

The polyvinyl alcohol/chitosan (PVA/CS) thin film membrane was modified using a deep eutectic solven...

ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram.

Left ventricular systolic dysfunction (LVSD) and its severity are correlated with the prognosis of c...

Evaluation of Machine Learning/Molecular Mechanics End-State Corrections with Mechanical Embedding to Calculate Relative Protein-Ligand Binding Free Energies.

The development of machine-learning (ML) potentials offers significant accuracy improvements compare...

Dual-Stage AI Model for Enhanced CT Imaging: Precision Segmentation of Kidney and Tumors.

OBJECTIVES: Accurate kidney and tumor segmentation of computed tomography (CT) scans is vital for di...

Major Adverse Kidney Events in Hospitalized Older Patients With Acute Kidney Injury: Machine Learning-Based Model Development and Validation Study.

BACKGROUND: Acute kidney injury (AKI) is a common complication in hospitalized older patients, assoc...

An Automatic Deep-Radiomics Framework for Prostate Cancer Diagnosis and Stratification in Patients with Serum Prostate-Specific Antigen of 4.0-10.0 ng/mL: A Multicenter Retrospective Study.

RATIONALE AND OBJECTIVES: To develop an automatic deep-radiomics framework that diagnoses and strati...

PFSH-Net: Parallel frequency-spatial hybrid network for segmentation of kidney stones in pre-contrast computed tomography images of dogs.

Kidney stone is a common urological disease in dogs and can lead to serious complications such as py...

Use of Machine Learning to Assess the Management of Uncomplicated Urinary Tract Infection.

IMPORTANCE: Uncomplicated urinary tract infection (UTI) is a common indication for outpatient antimi...

Spatially-Constrained and -Unconstrained Bi-Graph Interaction Network for Multi-Organ Pathology Image Classification.

In computational pathology, graphs have shown to be promising for pathology image analysis. There ex...

Predicting Discharge Destination From Inpatient Rehabilitation Using Machine Learning.

Predicting discharge destination for patients at inpatient rehabilitation facilities is important as...

Real-time prediction system for prevention of acute renal failure based on AI model.

Mechanism of Acute Kidney Injury in Mild to Moderate Heat-related Illness.

OBJECTIVES: This study focuses on mild-to-moderate severity cases to examine the triggers initiating...

Identification of Factors Influencing Donor-Derived Cell-Free DNA Levels up to One Year After Kidney Transplant.

Donor-derived cell-free DNA (dd-cfDNA) in the peripheral blood of allograft recipients has shown to...

A novel artificial intelligence segmentation model for early diagnosis of bladder tumors.

OBJECTIVE: Despite cystoscopy plays an important role in bladder tumors diagnosis, it often falls sh...

Development of risk models for early detection and prediction of chronic kidney disease in clinical settings.

Chronic kidney disease (CKD) imposes a high burden with high mortality and morbidity rates. Early de...

Development and validation of a web-based calculator for determining the risk of psychological distress based on machine learning algorithms: A cross-sectional study of 342 lung cancer patients.

PURPOSE: Early and accurate identification of the risk of psychological distress allows for timely i...