Latest AI and machine learning research in nephrology for healthcare professionals.
BACKGROUND: Prekidney transplant evaluation routinely includes abdominal CT for presurgical vascular...
Opportunistic infections (OIs) are the leading cause of hospitalisation and mortality among Human Im...
In the current paper, we will focus on requirements to ensure big data can advance the outcomes of o...
Purpose: This study aims to develop and validate a method for synthesizing 3D nephrographic phase ...
Background: Sepsis-Associated Acute Kidney Injury (SA-AKI) leads to high mortality in intensive ca...
We introduce a novel contextual embedding model med-gte-hybrid that was derived from the gte-large...
Over 10,000 candidates wait for a kidney transplantation in Eurotransplant, and are prioritized fo...
BACKGROUND: Epidermal growth factor receptor (EGFR) sensitive mutation is one of the effective targe...
Drug discovery is a long, expensive, and complex process, relying heavily on human medicinal chemi...
Accurately restoring topology is both challenging and crucial in tubular structure extraction task...
Acute allograft rejection in patients undergoing renal transplantation is diagnosed through histopat...
Venous thromboembolic events (VTE) is a frequent complication in multiple myeloma (MM) patients, rai...
Chronic kidney disease (CKD) is a major global health issue, affecting over 10% of the population ...
The choroid, a highly vascular layer behind the retina, is an extension of the central nervous sys...
Origami offers a versatile framework for designing morphable structures and soft robots by exploit...
Neural networks have become the standard technique for medical diagnostics, especially in cancer d...
Accurate fine-grained segmentation of the renal vasculature is critical for nephrological analysis...
BACKGROUND: The objective of this study was to develop and validate a radiomics-based machine learni...
Medical image classification is a vital research area that utilizes advanced computational techniq...
Recent advances in implicit neural representations have made them a popular choice for modeling 3D...
Recent advances in deep learning (DL) have prompted the development of high-performing early warni...