Urology

Deployer-side governance of medical imaging artificial intelligence: the regulatory readiness instrument (RRI-MI) for multi-jurisdictional and post-market compliance.

Artificial intelligence (AI) is transforming medical imaging and digital health, yet standard pre-market clearances evaluate algorithms under static, idealised conditions. Once deployed, imaging AI can degrade because of scanner drift, acquisition protocol shifts, software updates, and patient demographic variation. Although the US Food and Drug Administration Predetermined Change Control Plan and...

Triglyceride-glucose frailty index, metabolic-frailty phenotypes, and mortality in critically ill patients with acute kidney injury: Derivation, interpretation, and external validation.

BACKGROUND: Prognosis remains heterogeneous among critically ill patients with acute kidney injury (AKI). We evaluated the triglyceride-glucose frailty index (TyG-FI), a composite of metabolic burden and laboratory-based frailty, for mortality risk characterization, phenotype identification, prediction, and external validation. METHODS: We included 2230 adults with KDIGO-defined AKI from MIMIC-IV....

Advances in Mass Spectrometry-Based Proteomics for Kidney Disease Biomarker Discovery and Clinical Translation.

The high prevalence and substantial burden of kidney diseases necessitate advanced approaches to elucidate molecular mechanisms and promote precision ...

AI Structural Biology in Nephrology: Powerful Scaffolds, Fragile Certainties.

Artificial intelligence (AI)-based protein structure prediction has rapidly entered nephrology, providing plausible atomic models for channels, transp...

Revisiting clinical scoring tools for the diagnosis of thrombotic thrombocytopenic purpura (TTP).

Thrombotic thrombocytopenic purpura (TTP) is a rare, life-threatening hematologic emergency that leads to increased complexities and mortality due to ...

Composite dietary antioxidant index with hepatic indices for predicting mortality in cardiovascular-kidney-metabolic syndrome: Integrated analysis of a nationwide cohort study using machine learning approaches.

Oxidative stress is a pathological driver of cardiovascular-kidney-metabolic (CKM) syndrome, exacerbating inflammation and tissue injury, while metabo...

Benchmarking Universal Machine-Learning Interatomic Potentials for Accelerated Adsorption Energy Evaluation with DFT Single-Point Calculations.

Adsorption-energy calculations are essential for understanding molecule-surface interactions, but full DFT optimization remains too expensive for high...

Abdominal vascular calcification at CT: opportunistic quantification and imaging-based risk stratification.

Abdominal vascular calcification is increasingly recognized as a clinically relevant marker of systemic atherosclerotic burden and regional vascular d...

Prediction of delayed graft function after kidney transplantation using artificial intelligence and machine learning: A Systematic Review.

INTRODUCTION: Delayed graft function (DGF) is a frequent early complication after kidney transplantation. We systematically reviewed artificial intell...

AI Models for Predicting Acute Kidney Injury (AKI) and Post-AKI Mortality: Systematic Review and Meta-Analysis.

BACKGROUND: Machine learning (ML) models are increasingly used to predict acute kidney injury (AKI), but validation quality and clinical readiness rem...

Advanced gene editing technologies for oncology mechanisms, applications, and clinical implementation.

Advanced gene editing tools have transformed oncology by facilitating precise molecular therapies aimed at the hereditary basis of cancer. This thorou...

Downstream-Aware Automated QC of Images and AI-Generated Segmentations.

Automated deep learning-based segmentation is increasingly used in medical imaging to enable rapid biomarker extraction. Manual quality control (QC) o...

Comparative performance of artificial intelligence chatbots in patient education for robot-assisted radical prostatectomy: quality, transparency and readability.

Patients undergoing robot-assisted radical prostatectomy require complex counseling regarding treatment selection, cancer control, urinary continence,...

AI-powered semantic segmentation model for enhanced ureteral mapping and real-time instrument feedback in robotic colorectal surgery.

Ureteral injury is a serious complication of colorectal surgery. Current intraoperative localization methods, including indocyanine green (ICG) fluore...

Automatic treatment planning using reinforcement learning for high-dose-rate prostate brachytherapy.

Purpose.In high-dose-rate (HDR) prostate brachytherapy procedures, needle placement solely relies on physician experience. We investigated the feasibi...

Machine Learning-Based Screening of Optimal miRNA Targets Enabled by a Cytosolic Delivery Carrier for Augmenting Cancer Therapy.

Nucleic acid therapeutics offer promise for precision cancer treatment, but are limited by inaccurate target selection and inefficient delivery. This ...

Contemporary practice patterns of shock wave lithotripsy in the era of endourology: an international FUTURE survey.

The relative use of shock wave lithotripsy (SWL) has declined with the expansion of endourological techniques, although SWL remains widely available. ...

The Eye as a Window to Cardio-Kidney-Metabolic Disease.

The Cardiovascular-Kidney-Metabolic (CKM) syndrome reframes cardiovascular, kidney, and metabolic disease as an integrated continuum, yet its manageme...

Linking bisphenol a exposure to pancreatic cancer: Evidence from population epidemiology, multi-omics screening, and cellular validation.

Bisphenol A (BPA) is a ubiquitous environmental endocrine disruptor; its association with pancreatic cancer and its potential mechanisms of action rem...

Renal Cell Carcinoma Texture Analysis With the KiTS23 Dataset: A Retrospective Study.

BACKGROUND AND AIMS: Computed tomography texture analysis, powered by machine learning techniques, may differentiate clear cell renal cell carcinoma (...