Latest AI and machine learning research in nephrology for healthcare professionals.
Kinase inhibitors are widely used in antitumor research, but there are still many problems such as d...
The objective of our study was to systematically review the literature about the application of art...
BACKGROUND: Acute Kidney Injury (AKI) is a shared complication among Intensive Care Unit (ICU), mark...
Artificial intelligence is increasingly being adopted in medical fields to predict various outcomes....
An important need exists to better understand and stratify kidney disease according to its underlyin...
BACKGROUND AND OBJECTIVES: Immunohistopathology is an essential technique in the diagnostic workflow...
BACKGROUND: The prevalence of acute kidney injury (AKI) in COVID-19 patients is high, with poor prog...
OBJECTIVE: The Scleroderma: Cyclophosphamide or Transplantation (SCOT) trial demonstrated clinical b...
Kidney transplant recipients and transplant physicians face important clinical questions where machi...
BACKGROUND: Hyperkalemia is a potentially life-threatening electrolyte abnormality that often requir...
BACKGROUND: The sodium-glucose cotransporter 2 inhibitor canagliflozin has been shown to reduce the ...
BACKGROUND: Pulmonary hypertension (PH) is a heterogeneous, severe and progressive disease with an i...
The aims of this study were to decrease the Lu-SPECT acquisition time by reducing the number of proj...
Despite the adoption of robotic donor nephrectomy, the steep learning curve of robotic recipient tr...
Physical findings of auscultation cannot be quantified at the arteriovenous fistula examination site...
We encountered a 55-year-old Japanese man with advanced renal cell carcinoma and slowly progressive ...
BACKGROUND AND OBJECTIVE: Chronic kidney disease is a worldwide health issue which includes not only...
The application of deep learning for automated segmentation (delineation of boundaries) of histologi...
Deep Learning (DL) algorithms are a set of techniques that exploit large and/or complex real-world d...
We sought to identify the factors associated with deterioration of renal functions after robot-assi...
The purpose of this study is to provide an overview of the traditional machine learning (ML)-based ...