Latest AI and machine learning research in nephrology for healthcare professionals.
BACKGROUND AND AIMS: Healthcare administration accounts for approximately 25% of healthcare expendit...
Staphylococcus aureus bloodstream infections are a significant risk for hemodialysis patients, who w...
Automated identification of urinary system diseases on non-contrast computed tomography (NCCT) can f...
BACKGROUND: Severe obstructive sleep apnea (SOSA) is associated with an increased risk of perioperat...
BACKGROUND: Stroke is a common cardiovascular complication. The machine learning (ML) algorithms in ...
BACKGROUND: While HbA1c is the standard for monitoring long-term glycaemic control, it fails to capt...
BACKGROUND: IgA nephropathy (IgAN) has diverse clinical presentations and responses to treatment. Fo...
Despite remarkable advances in transplant pathology, molecular diagnostics, imaging, and biomarker d...
RATIONALE & OBJECTIVE: Despite advantages in survival and quality of life with kidney transplantatio...
RATIONALE AND OBJECTIVES: To develop and validate an interpretable, multimodal, ultrasound-based mac...
Chronic Renal Disease (CRD) is an increasing global health burden, largely driven by the rising prev...
Accurate preoperative discrimination of renal cell carcinoma (RCC) subtypes is critical for treatmen...
Pulmonary arterial hypertension (PAH) is a rare, progressive disease of the precapillary pulmonary a...
BackgroundThis study aims to explore the association between the Hemoglobin/Red Cell Distribution Wi...
Adeno-associated viruses (AAVs) are leading gene therapy vectors; however, maintaining their structu...
Understanding the formation and transport properties of the solid electrolyte interphase (SEI) at th...
UNLABELLED: Accurate prediction of epidermal growth factor receptor (EGFR) mutations is essential fo...
Non-small cell lung cancer (NSCLC) is the most common cancer-related cause of death among all countr...
INTRODUCTION: Clear cell renal cell carcinoma (ccRCC) exhibits substantial heterogeneity within its ...
Aqueous zinc-ion batteries (AZIBs) are widely regarded as a compelling technology for grid-scale ene...
RATIONALE AND OBJECTIVES: To systematically evaluate the diagnostic performance of machine learning ...