Nephrology

Latest AI and machine learning research in nephrology for healthcare professionals.

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Showing 2731-2751 of 3,938 articles
A Machine Learning Model for Diagnosing Opportunistic Infections in HIV Patients: Broad Applicability Across Infection Types.

Opportunistic infections (OIs) are the leading cause of hospitalisation and mortality among Human Im...

Applying Artificial Intelligence to Quantify Body Composition on Abdominal CTs and Better Predict Kidney Transplantation Wait-List Mortality.

BACKGROUND: Prekidney transplant evaluation routinely includes abdominal CT for presurgical vascular...

Artificial Intelligence-Enhanced Electrocardiography for Prediction of Incident Hypertension.

IMPORTANCE: Hypertension underpins significant global morbidity and mortality. Early lifestyle inter...

Ethical considerations on the use of big data and artificial intelligence in kidney research from the ERA ethics committee.

In the current paper, we will focus on requirements to ensure big data can advance the outcomes of o...

Evaluation of risk factors for thromboembolic events in multiple myeloma patients using multiple machine learning models.

Venous thromboembolic events (VTE) is a frequent complication in multiple myeloma (MM) patients, rai...

Detection and classification of glomerular lesions in kidney graft biopsies using 2-stage deep learning approach.

Acute allograft rejection in patients undergoing renal transplantation is diagnosed through histopat...

Differentiating between renal medullary and clear cell renal carcinoma with a machine learning radiomics approach.

BACKGROUND: The objective of this study was to develop and validate a radiomics-based machine learni...

Artificial Intelligence in Predicting Ocular Hypertension After Descemet Membrane Endothelial Keratoplasty.

PURPOSE: Descemet membrane endothelial keratoplasty (DMEK) has emerged as a novel approach in cornea...

Donor-specific digital twin for living donor liver transplant recovery.

The remarkable capacity of the liver to regenerate its lost mass after resection makes living donor ...

Post-Transplant Liver Monitoring Utilizing Integrated Surface-Enhanced Raman and AI in Hepatic Ischemia-Reperfusion Injury Animal Model.

BACKGROUND: While liver transplantation saves lives from irreversible liver damage, it poses challen...

Preoperative kidney tumor risk estimation with AI: From logistic regression to transformer.

We consider the problem of renal mass risk classification to support doctors in adjuvant treatment d...

The effectiveness, equity and explainability of health service resource allocation-with applications in kidney transplantation & family planning.

INTRODUCTION: Halfway to the deadline of the 2030 agenda, humankind continues to face long-standing ...

Clinical characteristics, prognosis, and predictive modeling in class IV ± V lupus nephritis.

OBJECTIVE: The objective of this study is to compare the clinical features and survival outcomes of ...

Emerging biomaterials and bio-nano interfaces in pulmonary hypertension therapy: transformative strategies for personalized treatment.

Pulmonary hypertension (PH) is still an aggressive and progressive illness with vascular remodeling ...

Machine learning with decision curve analysis evaluates nutritional metabolic biomarkers for cardiovascular-kidney-metabolic risk: an NHANES analysis.

BACKGROUND: The American Heart Association recently introduced the concept of Cardiovascular-Kidney-...

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