Latest AI and machine learning research in nephrology for healthcare professionals.
A 38-years-old female with an aortic valve replacement presented to an outside hospital (OSH) with f...
BACKGROUND AND OBJECTIVES: Atrial fibrillation (AF) is common in CKD and associated with poor kidney...
Breast cancer is the cancer with the highest incidence of malignant tumors in women, which seriously...
is a major pathogen that causes a high mortality rate in trout farms. However, systemic responses t...
Efforts at finding potential biomarkers of tolerance after kidney transplantation have been hindered...
Ion intercalation based programmable resistors have emerged as a potential next-generation technolog...
PURPOSE: Hydronephrosis is the dilation of the pelvicalyceal system due to the urine flow obstructio...
Diagnosing iron deficiency with currently available tests is difficult in patients with chronic kidn...
BACKGROUND: Optimizing organ yield (number of organs transplanted per donor) is a potentially modifi...
We present a new coating procedure to prepare optical fibre sensors suitable for use with protein an...
INTRODUCTION: Fluorescence angiography (FA) with indocyanine green (ICG) and hyperspectral imaging (...
BACKGROUND: Common subtypes seen in Chinese patients with membranous nephropathy (MN) include idiopa...
Accessing tubular environment is critical in medicine. For example, gastrointestinal tract related c...
PURPOSE: To investigate the diagnostic performance of a deep convolutional neural network for differ...
Image-guidance during partial nephrectomy enables navigation within the operative field alongside a ...
Side experiments are performed on radiomics models to improve their reproducibility. We measure the ...
Underwater video monitoring systems are being widely used in fisheries to investigate fish behavior ...
BACKGROUND: Many centres deny obese patients with a body mass index (BMI)Â >35 access to kidney trans...
BACKGROUD: Cancer stemness is associated with metastases in kidney renal clear cell carcinoma (KIRC)...
Regular screening for the early detection of common chronic diseases might benefit from the use of d...
Kernel support vector machine algorithm and -means clustering algorithm are used to determine the ex...