Intradialytic hypotension (IDH) occurs in approximately 10–12% of treatments. Whereas
several definitions for IDH are available, a nadir systolic blood pressure carries the strongest …

This paper reviews the state of the arts and trends of the AI-Based biomedical processing
algorithms and hardware. The algorithms and hardware for different biomedical applications …

The purpose of this study was to assess the feasibility of machine learning (ML) in predicting
the risk of end-stage kidney disease (ESKD) from patients with chronic kidney disease …

The high prevalence of alcohol and drug abuse and mental illness imposes a substantial
financial burden on those affected and on society. The authors present estimates of the …

Fluid volume and hemodynamic management in hemodialysis patients is an essential
component of dialysis adequacy. Restoring salt and water homeostasis in hemodialysis …

Results The recurrent neural network model for predicting intradialytic hypotension 1
achieved an area under the receiver operating characteristic curve of 0.94 (95% confidence …

Hemodialysis has saved many lives, albeit with significant residual mortality. Although poor
outcomes may reflect advanced age and comorbid conditions, hemodialysis per se may …

Abstract Background and aims Artificial Intelligence (AI) shows extensive capabilities to
impact different healthcare areas during the COVID-19 pandemic positively. This paper tries …

Artificial intelligence (AI), as an advanced science technology, has been widely used in
medical fields to promote medical development, mainly applied to early detections, disease …

The exponential growth of artificial intelligence (AI) has allowed for its integration into
multiple sectors, including, notably, healthcare. Chatbots have emerged as a pivotal …