Latest AI and machine learning research in nephrology for healthcare professionals.
BACKGROUND: Ascites development in cirrhosis reduces five-year survival from 80% to 30%, yet substantial heterogeneity exists among patients with comparable ascites severity. METHODS: This multicenter retrospective cohort study included adult liver transplant candidates with ascites at four United States centers (2015-2024). Latent class analysis was performed using seven clinical variables: ascit...
BACKGROUND AND AIM: Atrial fibrillation (AF) affects over 37 million people internationally and confers increased risk of cardiovascular conditions. Prediction algorithms have attempted to predict incident AF, but other cardio-renal diseases could also provide targets for earlier intervention. METHOD: We derived a random forest classified for incident AF within 5 years (Future Innovations in Novel...
Using two-sample Mendelian randomization (MR) based on GWAS data from the IEU OpenGWAS project and a retrospective clinical cohort, this study investi...
BACKGROUND: Chronic diseases account for approximately 90% of the $4.5 trillion annual healthcare expenditure in the United States. While traditional ...
BACKGROUND: Chronic kidney disease (CKD) is a critical, progressive condition associated with high mortality and substantial healthcare costs. Early d...
BACKGROUND: Intradialytic blood pressure variations are frequent and associated with poor clinical outcomes. However, the use of arbitrary, inconsiste...
Hypertension has traditionally been defined and managed according to brachial blood pressure levels. Although this pressure-centric strategy has signi...
BACKGROUND: The rapid advancement of digital pathology has opened unprecedented opportunities for intelligent diagnosis in renal cell tumor. However, ...
UNLABELLED: Hypertension is a major risk factor for cardiovascular diseases, with changes in gut microbiota composition and function being closely ass...
BACKGROUND: Diabetes, hypertension, and dyslipidemia are major risk factors for cardiovascular, neurological, renal, and pulmonary diseases, yet clini...
BACKGROUND AND AIMS: Prognostication in acute liver failure (ALF) due to acetaminophen (APAP) and other causes of drug-induced liver injury (DILI) rem...
PURPOSE OF REVIEW: ICU procedures are increasingly complex, often requiring deeper sedation or general anesthesia, and are increasingly performed at t...
BACKGROUND AND AIM: The burden of both psychiatric symptoms (anxiety and/or depression) and hypertension poses significant public health challenges in...
OBJECTIVE: This study aimed to develop a machine learning (ML) framework to predict incident type 2 diabetes mellitus (T2DM) using routinely available...
Autosomal dominant polycystic kidney disease (ADPKD) arises from mutations in polycystin-1/PKD1 or polycystin-2/PKD2 that induce injury-repair pathway...
OBJECTIVE: Compare the effectiveness of machine learning algorithms and traditional logistic regression in predicting the mortality risk of young pati...
Autosomal Dominant Polycystic Kidney Disease (ADPKD) is the most prevalent hereditary kidney disorder. While the disease is well-defined, its clinical...
Cell shape is a fundamental determinant of tissue architecture and organ function. In epithelial tissues, cytoskeletal organization and apical junctio...
BACKGROUND: Artificial intelligence-enabled electrocardiography (AI-ECG) has emerged as a promising tool for identifying patients with atrial fibrilla...
BACKGROUND: Real-time anatomical recognition during robot-assisted surgery has the potential to enrich intraoperative decision-making. We made the fir...