Urology

Machine learning-predicted insulin resistance is a risk factor for 12 types of cancer.

Insulin resistance is suggested to be a risk factor for cancer; however, large-scale epidemiological...

Risk Prediction of Chronic Kidney Disease Progression in Type 2 Diabetes Mellitus Across Diverse Populations.

Chronic kidney disease (CKD) is a common complication of type 2 diabetes mellitus (T2DM), with limit...

Toward an explainable AI-Based clinical decision support system for predicting adverse outcomes in Rhabdomyolysis.

Rhabdomyolysis is a severe condition with high morbidity and mortality, driven by complications like...

Evolving strategies in prostate cancer: Emerging approaches and unmet needs from the Bridging the Gaps in Prostate Cancer expert panel.

BACKGROUND: The expansion of treatment options for prostate cancer (PC) has improved disease-specifi...

The understandability and actionability of AI-generated information for patients with chronic kidney disease.

OBJECTIVES: This study assessed the understandability, actionability, and overall quality of Artific...

The emerging role of machine learning-based methods in cancer classification using microRNA.

Early detection and accurate classification of cancer are crucial to improving patient outcomes. Dia...

An allostatic load domain-specific metabolic profile in young adults: The African-PREDICT study.

Allostatic load scores (ALSs) quantify the cumulative physiological burden of sustained stress acros...

Integration of bulk and single-cell transcriptomic sequencing reveals the neutrophil heterogeneity in bladder cancer and establishes a prognostic model.

Interpretable habitat and peritumoral radiomics from multiparametric MRI for preoperative high-risk prostate cancer prediction: a multi-institutional study.

BACKGROUND: Current preoperative assessment faces limitations, including PI-RADS scoring subjectivit...

Association of cardiovascular-kidney-metabolic syndrome stages with MASLD prevalence and liver fibrosis severity: evidence from traditional and machine learning approaches.

INTRODUCTION: Cardiovascular-Kidney-Metabolic (CKM) syndrome reflects the convergence of cardiovascu...

Practical integration of machine learning into ab initio calculations and workflows: Accelerating the SCF cycle via density matrix predictions.

Data-driven approaches offer great potential for accelerating ab initio electronic structure calcula...

Construction of a deep learning-based predictive model for delayed graft function in kidney transplantation.

BACKGROUND: Delayed graft function (DGF) is a major complication of kidney transplantation that adve...

Development of a Predictive Calculator for the Need for Abdominoperineal Resection after Chemoradiation Therapy in Anal Squamous Cell Carcinoma.

BACKGROUND: Chemoradiation therapy (CRT) is standard treatment for anal squamous cell carcinoma (ASC...

Long-Term Follow-Up in Liver Transplantation and Combined Cardiac Surgery: Validation and Refinement of the LT+CS Risk Score Using Advanced Machine Learning.

BACKGROUND: Combined liver transplantation (LT) and cardiac surgery (LT+CS) is a therapeutic option ...

Detection of prostate cancer in 3D pathology datasets via generative immunolabeling.

Recent advancements in nondestructive 3D pathology offer a complement to standard histology by enabl...

Feasibility of Integrating Urinary Proteomics and Machine Learning for Diagnosing Diabetic Nephropathy.

Diabetic nephropathy (DN) represents the predominant microvascular complication associated with diab...

Artificial intelligence-assisted reading of non-contrast prostate MRI: application and concordance with expert interpretation in a screening population within the PROSA trial.

OBJECTIVES: Non-contrast MRI (bi-parametric MRI-bpMRI) has been investigated as a potential tool to ...

Early Risk Factor Prediction in Chronic Kidney Disease Diagnosis Using Feature Selection and Machine Learning Algorithms.

Chronic kidney disease, CKD in short, is a kind of long-term kidney illness in which rapid deteriora...

Predicting vesicoureteral reflux outcomes using artificial intelligence: A critical appraisal using APPRAISE-AI.

Vesicoureteral reflux (VUR) is a common congenital urinary tract anomaly in children, associated wit...

Renal Clinical Study Participants Support Data Sharing and Use of Artificial Intelligence.

INTRODUCTION: Kidney diseases are a global health concern. Sharing data from renal clinical studies ...

A deep learning and morphometric hybrid model for automated quantification of kidney interstitial fibrosis in trichrome-stained whole-slide image.

BACKGROUND: Interstitial fibrosis (IF) is the strongest predictor of chronic kidney disease progress...