Latest AI and machine learning research in nephrology for healthcare professionals.
For decades, electron microscopy has been the primary method to visualize ultrastructural details of...
To prevent chronic disease from getting worse, it is important to detect and predict it at an early ...
We aimed to investigate the independent outcome predictors of continuous antibiotic prophylaxis (CAP...
Chronic kidney disease (CKD) is a major public health problem worldwide associated with cardiovascu...
Almost one in four critically ill patients suffer from intra-abdominal hypertension (IAH). Currently...
BACKGROUND: IgA nephropathy (IgAN) is a leading cause of renal failure, characterized by significant...
BACKGROUND: Most artificial intelligence-based research on acute kidney injury (AKI) prediction has ...
In this observational study, we used data from 59,936 hospitalized adults to construct a model. For ...
Hypertension presents the largest modifiable public health challenge due to its high prevalence, its...
BACKGROUND: Chronic kidney disease (CKD) is a global health concern characterised by irreversible re...
Uric acid is a key metabolic byproduct of purine degradation and plays a dual role in human health....
BACKGROUND AND OBJECTIVE: Natural language processing (NLP) is a subfield of artificial intelligence...
In hyperuricaemic populations, multiple factors may contribute to impaired renal function. This stud...
BACKGROUND: Within the past two decades, high-profile cases of melamine (MA) exposure have raised si...
BACKGROUND: Patients with chronic kidney disease (CKD) are considered the primary population at risk...
BACKGROUND: Early and accurate identification of epidermal growth factor receptor (EGFR) mutation st...
BACKGROUND AND AIMS: Clinical hepatology research often faces limited data availability, underrepres...
BACKGROUND: Ischemia-reperfusion injury (IRI) is closely associated with numerous severe postoperati...
BACKGROUND: Contrast-induced acute kidney injury (CI-AKI) is a common complication of lower limb per...
UNLABELLED: Congenital diaphragmatic hernia (CDH) has high morbidity and mortality rates. This study...
OBJECTIVE: To develop a machine learning (ML) model utilizing transfer learning (TL) techniques to p...