Latest AI and machine learning research in nephrology for healthcare professionals.
BACKGROUND: Chronic kidney disease (CKD) is a prevalent condition with significant global health imp...
Diabetes Mellitus (DM) is a global health challenge, and accurate early detection is critical for ef...
Kidney transplantation is the definitive treatment for end-stage renal disease (ESRD), yet challenge...
This study aims to develop a machine learning model utilizing Computed Tomography (CT) values to pre...
Chronic kidney disease (CKD) is a global health concern with early detection playing a pivotal role ...
OBJECTIVE: To test if our artificial intelligence (AI)-postoperative glomerular filtration rate (GFR...
Increased monitoring of health-related data for ICU patients holds great potential for the early pre...
BACKGROUND: Despite the poor outcomes related to the presence of pulmonary hypertension, it often go...
INTRODUCTION: Renal transplantation is a critical treatment for end-stage renal disease, but graft f...
Major advances in managing critically ill patients with liver disease have improved their prognosis ...
This study explores the development and optimization of a novel biomaterial scaffold for tissue engi...
BACKGROUND: Creatinine-based estimated glomerular filtration rate (eGFR) equations are widely used i...
INTRODUCTION: Chronic kidney disease (CKD) patients may develop kidney failure (KF), receiving renal...
Membrane incompatibility poses significant health risks, including severe complications and potentia...
BACKGROUND/OBJECTIVES: The incidence of acute kidney injury (AKI) following advanced epithelial ovar...
Artificial intelligence (AI) has shown promise in revolutionizing medical triage, particularly in th...
OBJECTIVES: The detection of renal cell carcinoma (RCC) tumors in the earlier stages is of great imp...
INTRODUCTION: Lupus nephritis (LN) is one of the most frequent and serious organic manifestations of...
BACKGROUND: Health equity and access to essential medical information remain significant challenges,...
OBJECTIVES: To develop and validate an ultrasomics-based machine-learning (ML) model for non-invasiv...
Bacteria are associated with certain cancers and may induce genetic instability and cancer progressi...