Latest AI and machine learning research in nephrology for healthcare professionals.
BACKGROUND: Establishment of a reliable prognostic model and identification of novel biomarkers are ...
Clear cell renal carcinoma (ccRCC), the most common subtype of renal cell carcinoma, has the high he...
With the release of ChatGPT at the end of 2022, a new era of thinking and technology use has begun. ...
The kidney allograft has been under continuous attack from diverse injuries since the very beginning...
Total Cardiac Volume (TCV)-based size matching using Computed Tomography (CT) is a novel technique t...
BACKGROUND RARP is an established procedure in treatment of localized prostate cancer. Hemorrhagic c...
Robot-assisted partial nephrectomy (RAPN) has been shown to be a safe and effective method for treat...
BACKGROUND: Predicting long-term mortality postkidney transplantation (KT) using baseline clinical d...
PURPOSE: Robot-assisted kidney transplantation (RAKT) is being increasingly performed at selected re...
In kidney transplantation, pairing recipients with the highest longevity with low-risk allografts to...
Glomerulus morphology on renal pathology images provides valuable diagnosis and outcome prediction i...
OBJECTIVES: This study aimed to develop machine learning models for risk prediction of continuous re...
Apparent treatment-resistant hypertension (aTRH), defined as blood pressure (BP) that remains uncont...
PURPOSE: To assess the effectiveness of a deep learning model using contrastenhanced ultrasound (CEU...
Hypertension is a widely prevalent disease and uncontrolled hypertension predisposes affected indivi...
Daptomycin is a concentration-dependent lipopeptide antibiotic for which exposure/effect relationshi...
BACKGROUND: Vancomycin is a renally eliminated, nephrotoxic, glycopeptide antibiotic with a narrow t...
Carotid corrected flow time (FTc) and tidal volume challenge pulse pressure variation (VtPPV) are us...