The significant growth of artificial intelligence (AI) methods in machine learning (ML) and
deep learning (DL) has opened opportunities for fluid dynamics and its applications in …

Acute kidney injury (AKI) has a significant impact on the short-term and long-term clinical
outcomes of pediatric and neonatal patients, and it is imperative in these populations to …

Background Early recognition and timely intervention for AKI in critically ill patients were
crucial to reduce morbidity and mortality. This study aimed to use biomarkers to construct a …

The integration of AI in critical care nephrology has the potential to revolutionize the
management of AKI and continuous renal replacement therapy. While AI holds immense …

OBJECTIVES: Acute kidney injury (AKI) is a common form of organ dysfunction in the ICU.
AKI is associated with adverse short-and long-term outcomes, including high mortality rates …

Acute kidney injury (AKI) presents a significant clinical challenge due to its rapid progression
to kidney failure, resulting in serious complications such as electrolyte imbalances, fluid …

Globus pallidus necrosis (GPN) is one of typical neurological imaging features in patients
with carbon monoxide (CO) poisoning. Current clinical guideline recommends neurological …

This study explores the contemporary landscape of integrating numerical algorithms,
artificial intelligence (AI), and expert methodologies within the domain of nephrology …

Background Predicting the successful weaning of acute kidney injury (AKI) patients from
renal replacement therapy (RRT) has emerged as a research focus, and we successfully …

Background Recent studies suggest machine learning represents a promising predictive
option for patients in intensive care units (ICU). However, the machine learning performance …