Latest AI and machine learning research in nephrology for healthcare professionals.
BACKGROUND: Radical nephroureterectomy (RNU) represents the standard of care for high grade upper tr...
Minimally invasive donor nephrectomy has become the standard procedure in most transplant centres ov...
Renal cell carcinoma (RCC) is the most common renal cancer in adults. The histopathologic classifica...
INTRODUCTION: In observational studies, increased water intake improves kidney function but not in a...
INTRODUCTION: Cytomegalovirus infection (CMV) in a kidney transplant recipient (KTR) is a serious co...
BACKGROUND: Despite efforts aimed at preserving renal function, the functional decline after robot-a...
We previously demonstrated that Machine learning (ML) algorithms can accurately estimate drug area u...
PURPOSE: Total kidney volume (TKV) is an important measure in renal disease detection and monitoring...
BACKGROUND: Renal flare of lupus nephritis (LN) is strongly associated with poor kidney outcomes, an...
Robot-assisted kidney transplantation (RAKT) is a technically challenging procedure and there has b...
OBJECTIVE: Hemorrhagic fever with renal syndrome (HFRS), one of the main public health concerns in m...
INTRODUCTION: The detection and monitoring of electrolyte imbalance is essential for appropriate man...
BACKGROUND: Accurate estimating glomerular filtration rate (GFR) is crucial both in clinical practic...
OBJECTIVE: To investigate whether dose reductions in cisplatin due to renal dysfunction were associa...
Whole slide imaging, which is an important technique in the field of digital pathology, has recently...
PURPOSE: With advancements in medical imaging, more renal tumors are detected early, but it remains ...
OBJECTIVES: To identify predictors of renal function preservation, and to compare the global and spl...
We developed and validated a new prognostic model for predicting the overall survival in clear cell ...
BACKGROUND: Postoperative acute kidney injury is common after major vascular surgery and is associat...
Diabetes is a metabolic disorder comprising of high glucose level in blood over a prolonged period i...
Several deep learning approaches have been proposed to address the challenges in computational patho...