Latest AI and machine learning research in nephrology for healthcare professionals.
Artificial intelligence (AI)-based multi-modal fusion algorithms are pivotal in emulating clinical p...
Diabetes, particularly Type 2 diabetes (T2D), poses a substantial global health burden, compounded...
Identification of early immune signatures associated with acute myeloid leukemia (AML) relapse follo...
EGFR mutations are a major prognostic factor in lung adenocarcinoma. However, current detection meth...
() is a widely disseminated betaherpesvirus that typically induces latant infections. In immunocom...
OBJECTIVE: End-stage renal disease (ESRD) commonly manifests with disrupted calcium balance, leading...
Autonomous surgical robots have demonstrated significant potential to standardize surgical outcome...
Objective: To improve prediction of Chronic Kidney Disease (CKD) progression to End Stage Renal Di...
The in-vivo identification of the kidney stone types during an ureteroscopy would be a major medic...
Diabetes is a chronic disease characterised by a high risk of developing diabetic nephropathy, whi...
AIMS: To examine whether sublingual microcirculation can be used as an effective and noninvasive met...
OBJECTIVE: To investigate the signature genes of fatty acid metabolism and their association with im...
This paper presents a comprehensive workflow for integrating revolving events into the transitive se...
Early identification of patients at high risk of cardiac surgery-associated acute kidney injury (CSA...
This study investigates the perception of a multinational group of nephrologists on artificial intel...
Forecasting the need for Renal Replacement Therapy (RRT) in intensive care units (ICUs) at an early ...
Open source, lightweight and offline generative large language models (LLMs) hold promise for clinic...
This study introduces a Generative Artificial Intelligence (GenAI) assistant designed to address key...
Cancer is a highly heterogeneous disease with significant variability in molecular features and cl...
The absence of predictive markers for kidney stone recurrence poses a challenge for the clinical ma...