Nephrology

Alignment Between Cardiologists and AI-Driven Diagnostic Systems: Mixed Methods Study.

BACKGROUND: The clinical value of artificial intelligence (AI)-based diagnostic systems depends not ...

Attention-Based Point Cloud Completion for CT-Equivalent Kidney Volumetry from Tracked Freehand Ultrasound.

Kidney volume measurement is critical for managing polycystic kidney disease and monitoring transpla...

Machine learning-based risk prediction model for postoperative acute kidney injury in surgical patients with chronic kidney disease (CKD): development, validation, and SHAP-based explainability.

This study aimed to develop machine learning models to predict postoperative acute kidney injury (AK...

PneumoMLPred: Innovating Pneumonia Management with Guideline Adherence Review and Explainable Machine Learning-based Mortality Prediction - A single-centre retrospective study.

INTRODUCTION: Community-acquired pneumonia (CAP) is one of the leading causes of death globally. Cha...

Practical Lithium-Sulfur Batteries: An Integrated Design Roadmap from High-Loading Cathodes to High-Energy Pouch Cells.

The transition to a sustainable energy future requires electrochemical storage systems that surpass ...

A Multimodal Learning Framework for Detecting Systemic Hypertension in Sleep Apnea Patients Using ECG and PPG Signals.

Systemic hypertension (HTN) is a major cardiovascular comorbidity in patients with obstructive sleep...

Rapid slide-level assessment of glomerular yield using virtual staining of unstained renal biopsy sections.

BACKGROUND: Renal biopsy remains the gold standard for the diagnosis of kidney diseases, and specime...

Machine learning approaches in identifying factors associated with hypertension and undiagnosed hypertension in adults in rural areas of Bangladesh.

BACKGROUND: Hypertension is a major cause of death and disability, and undiagnosed cases are particu...

Network pharmacology and bioinformatics study of Shuangjiang decoction and labetalol hydrochloride in the treatment of preeclampsia in pregnancy.

Preeclampsia (PE) remains a leading cause of maternal and perinatal mortality worldwide, and the com...

Calcite nanoparticles as advanced, pH-responsive platforms for cancer therapy: a comprehensive and critical review.

Nanomedicine offers powerful opportunities to overcome the pharmacokinetic and microenvironmental li...

What are the views of cancer care administrators and clinicians in England on the use of a machine learning clinical decision support system (ML-CDSS) to predict patients' risk of hepatic and renal deterioration during chemotherapy? A qualitative study.

OBJECTIVE: To explore administrators' and clinicians' views on the factors that influence their use ...

Supervised machine learning models for predicting sepsis-associated acute kidney injury in children: a real-world evaluation.

BACKGROUND: Sepsis-associated acute kidney injury (S-AKI) substantially increases mortality. The rec...

Early Risk Stratification for Mechanical Ventilation in Acute Ischemic Stroke: Development and Validation of a Simplified Clinical Score.

Background and PurposeMechanical ventilation (MV) occurs in a substantial subset of acute ischemic s...

Quality over quantity: biopsy-anchored CT radiogenomics models outperform all-lesion training in a multi-tumour cohort despite a smaller sample size.

OBJECTIVE: Radiogenomics aims to non-invasively predict tumour genotypes from imaging, but most stud...

Comparative study on the efficacy of large language models (LLMs) in health management for patients with urological and andrological diseases: a multidimensional quality evaluation and applicability analysis.

PURPOSE: This study aims to evaluate the efficacy of large language models (LLMs) in health manageme...

An interpretable PET/CT-based radiomic-clinical model for predicting bone marrow involvement in follicular lymphoma: comparison of pelvic and spine-pelvis VOI frameworks.

PURPOSE: To investigate the feasibility of non-invasively identifying bone marrow involvement (BMI) ...

Indicators for predicting continuous insulin infusion therapy-related hypokalemia: multicenter retrospective cohort study.

Hypokalemia is a common and potentially life-threatening complication of continuous intravenous insu...

AI-Based Digital Pathology-Enabled Spatial-Omics Data Analyses of the Human Kidney.

Identification of tissue-region-specific changes in glycosylation is crucial for understanding the p...

Development and validation of an interpretable machine learning model for predicting 30-day postoperative mortality in lung transplant recipients with pneumoconiosis.

Gradient Electrode-Electrolyte Interface Enables Ultrastable Piezoionic Sensor for Artificial Intelligence.

Piezoionic sensors perceive the physical world based on polymer ionogels with advantages of flexibil...

Unveiling the gap in heart failure: a Brazilian Unified Health System study.

BACKGROUND: Heart failure (HF) decompensation is the leading cause of hospitalisations in developed ...