Latest AI and machine learning research in nephrology for healthcare professionals.
Many drugs are developed for commonly occurring, well studied cancer drivers such as vemurafenib for...
Machine learning (ML) utilizes artificial intelligence to generate predictive models efficiently and...
Hypertension is the leading risk factor of cardiovascular disease and has profound effects on both t...
OBJECTIVES: To assess the recall of a deep learning (DL) method to automatically detect kidney stone...
Due to the busy schedule of every human being in today's world, consciousness towards one's health h...
BACKGROUND: The purpose of this study was to build radiogenomics models from texture signatures deri...
Vitamin D insufficiency has been associated with faster progression of atherosclerosis and increase...
Optical tissue transparency permits scalable cellular and molecular investigation of complex tissues...
BACKGROUND: In dialysis patients, non-adherence to oral cinacalcet adds complexity to the control of...
OBJECTIVES: To develop and evaluate the feasibility of an objective method using artificial intellig...
The aim of this study was to introduce the "ultrathin parenchyma" resection in a robot-assisted par...
BACKGROUND: Previous scoring models such as the Acute Physiologic Assessment and Chronic Health Eval...
BACKGROUND: Cardiovascular diseases kill approximately 17 million people globally every year, and th...
Atomic neural networks (ANNs) constitute a class of machine learning methods for predicting potentia...
Some applications are very sensitive to the weight of the robot, such as space manipulation or any u...
Glomeruli are histological structures of the kidney cortex formed by interwoven blood capillaries, a...
There is growing interest in the potential of artificial intelligence to support decision-making in ...
Obtaining venous access for blood sampling or intravenous (IV) fluid delivery is an essential first ...
OBJECTIVES: Surgically treated clinical T1 (cT1) kidney cancer has in general a good prognosis, but ...
Segmentation is fundamental to medical image analysis. Recent advances in fully convolutional networ...
Imaging biomarkers are being rapidly developed for early diagnosis and staging of disease. The devel...