Latest AI and machine learning research in nephrology for healthcare professionals.
Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). ...
Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a systemic autoimmune dis...
PURPOSE: Machine learning (ML) has gained attention in diabetes management, particularly for predict...
BACKGROUND AND OBJECTIVE: Diabetes is a chronic disease characterised by a high risk of developing d...
Chronic kidney disease (CKD) poses a significant risk for diabetes patients, often leading to severe...
The link between individual metals and gestational anemia has been established, but the impact of me...
Arsenic (As)-induced hypertension is a significant public health concern, highlighting the need for ...
Accurate prediction of recurrence in clear cell renal cell carcinoma (ccRCC) remains a major clini...
Decisions about managing patients on the heart transplant waitlist are currently made by committee...
Manual annotation of airway regions in computed tomography images is a time-consuming and expertis...
Allogeneic hematopoietic cell transplantation (allo-HCT) is potentially curative for older adults wi...
Ultrasound microvascular imaging (UMI) is often hindered by low signal-to-noise ratio (SNR), espec...
Accurate vessel segmentation is crucial to assist in clinical diagnosis by medical experts. Howeve...
This paper systematically reviews recent advances in artificial intelligence (AI), with a particul...
Background: In vitro endothelial cell culture is widely used to study angiogenesis. Histomicrograp...
Liver landmarks provide crucial anatomical guidance to the surgeon during laparoscopic liver surge...
Background: Contrast-induced nephropathy (CIN) is a serious complication following acute coronary sy...
Background: Sepsis-associated acute kidney injury (SA-AKI) is a life-threatening complication with m...
OBJECTIVES: Primary graft dysfunction (PGD) is an essential outcome after the heart transplant, whic...
OBJECTIVE: To evaluate and compare the diagnostic performance of CT texture analysis (CTTA), perfusi...
Machine learning identifies liver fat fraction (FF) measured by H MR spectroscopy, insulinemia, and ...