Latest AI and machine learning research in nephrology for healthcare professionals.
INTRODUCTION: Reduced-dose (Low-dose [LD]) apixaban is recommended in patients with atrial fibrillat...
BACKGROUND: Machine learning is increasingly recognized as a viable approach for identifying risk fa...
Small-molecule analyte detection is key for improving quality of life, particularly in health monito...
BACKGROUND: Kidney renal clear cell carcinoma (KIRC), as a common case in renal cell carcinoma (RCC)...
Vancomycin is recommended as first-line treatment of methicillin-resistant (MRSA) bacteremia, dose...
The International Classification of Diseases (ICD) serves as a global healthcare administration stan...
Autosomal recessive polycystic kidney disease (ARPKD) is often associated with hepatobiliary disease...
OBJECTIVE: Through machine learning (ML) analysis of the radiomics features of ultrasound extracted ...
We introduce a convenient method of urethrography before catheterization for patients with pelvic tr...
PURPOSE OF THE STUDY: The purpose of this study was to assess the association of measured glomerular...
Hypertension affects >1 billion people worldwide. Complications of hypertension include stroke, rena...
RATIONALE & OBJECTIVE: Kidney function progressively declines in most patients with type 2 diabetes ...
Gabapentin and pregabalin are well-tolerated medications primarily cleared by the kidney. Patients ...
Artificial intelligence (AI) generative models driven by the integration of AI and natural language ...
Symptoms caused by a selective serotonin reuptake inhibitor (SSRI) overdose are often mild and can b...
The ability to quantify aging-related changes in histological samples is important, as it allows for...
BACKGROUND AND OBJECTIVE: Renal cell carcinoma represents a significant global health challenge with...
RATIONALE & OBJECTIVE: This study aimed to assess the effect of exposure to organic pollutants in ad...
BACKGROUND: Focal segmental glomerulosclerosis (FSGS) is a rare disease, or damage to the filtering ...
PURPOSE: This study aimed to investigate if a deep learning model trained with a single institution'...
To evaluate the efficacy of supine percutaneous renal access by robot-assisted (RA) fluoroscopy and...