Urology

"Artificial Intelligence in NAFLD Diagnosis: A New Frontier in Managing Metastatic Prostate Cancer Risk".

Foundation Model and Radiomics-Based Quantitative Characterization of Perirenal Fat in Renal Cell Carcinoma Surgery.

RATIONALE AND OBJECTIVES: To quantitatively characterize the degree of perirenal fat adhesion using ...

Point-of-Care Sensors and Medical Internet-of-Things Technologies to Manage Catheter-Associated Urinary Tract Infections in the Intensive Care Unit.

This article examines the current technologies used with indwelling urinary catheters to monitor pot...

A new era in nephrology: the role of super-resolution microscopy in research, medical diagnostic, and drug discovery.

For decades, electron microscopy has been the primary method to visualize ultrastructural details of...

A deep learning model based on Mamba for automatic segmentation in cervical cancer brachytherapy.

This study developed and evaluated an automatic segmentation model based on the Mamba framework (AM-...

Evaluating the prognostic significance of artificial intelligence-delineated gross tumor volume and prostate volume measurements for prostate radiotherapy.

BACKGROUND AND PURPOSE: Artificial intelligence (AI) may extract prognostic information from MRI for...

Pan-cancer analysis of CDC7 in human tumors: Integrative multi-omics insights and discovery of novel marine-based inhibitors through machine learning and computational approaches.

Cancer remains a significant global health challenge, with the Cell Division Cycle 7 (CDC7) protein ...

Machine learning-based prediction of vesicoureteral reflux outcomes in infants under antibiotic prophylaxis.

We aimed to investigate the independent outcome predictors of continuous antibiotic prophylaxis (CAP...

Deep learning on T2WI to predict the muscle-invasive bladder cancer: a multi-center clinical study.

To develop a deep learning (DL) model based on MRI to predict muscle-invasive bladder cancer (MIBC)....

Machine Learning and Mendelian Randomization Reveal a Tumor Immune Cell Profile for Predicting Bladder Cancer Risk and Immunotherapy Outcomes.

This study's objective was to develop predictive models for bladder cancer (BLCA) using tumor infilt...

Using machine learning for predicting cancer-specific mortality in bladder cancer patients undergoing radical cystectomy: a SEER-based study.

BACKGROUND: Accurately assessing the prognosis of bladder cancer patients after radical cystectomy h...

Rapid, non-invasive breath analysis for enhancing detection of silicosis using mass spectrometry and interpretable machine learning.

Occupational lung diseases, such as silicosis, are a significant global health concern, especially w...

Artificial intelligence in chronic kidney disease management: a scoping review.

Chronic kidney disease (CKD) is a major public health problem worldwide associated with cardiovascu...

The advance of artificial intelligence in outpatient urology: current applications and future directions.

PURPOSE OF REVIEW: Prudent integration of artificial intelligence (AI) into outpatient urology has a...

Ethical aspects of artificial intelligence: what urologists need to know.

PURPOSE OF REVIEW: The integration of artificial intelligence in urology presents both transformativ...

Integrated AI and machine learning pipeline identifies novel WEE1 kinase inhibitors for targeted cancer therapy.

The dysregulation of the cell cycle in cancer underscores the therapeutic potential of targeting WEE...

Machine learning models for enhanced diagnosis and risk assessment of prostate cancer with Ga-PSMA-617 PET/CT.

OBJECTIVE: Prostate cancer (PCa) is highly heterogeneous, making early detection of adverse patholog...

Generative artificial intelligence powered chatbots in urology.

PURPOSE OF REVIEW: The integration of artificial intelligence (AI) into healthcare has significantly...

An overview of utilizing artificial intelligence in localized prostate cancer imaging.

INTRODUCTION: Prostate cancer (PCa) is a leading cause of cancer-related deaths among men, and accur...

Predicting intra-abdominal hypertension using anthropometric measurements and machine learning.

Almost one in four critically ill patients suffer from intra-abdominal hypertension (IAH). Currently...

Monitoring kidney microanatomy during ischemia-reperfusion using ANFIS optimized CNN.

Kidney disease is a dangerous disease that affects human health and causes various defects. Renal mi...