OBJECTIVE: Reinforcement learning (RL) is a machine learning technique uniquely
effective at sequential decision-making, which makes it potentially relevant to ICU treatment …

Abstract Deep Reinforcement Learning (DRL) has been increasingly attempted in assisting
clinicians for real-time treatment of sepsis. While a value function quantifies the performance …

Physiological Closed-Loop Controlled systems continue to take a growing part in clinical
practice, offering possibilities of providing more accurate, goal-directed care while reducing …

Purpose Anesthesiologists simultaneously manage several aspects of patient care during
general anesthesia. Automating administration of hypnotic agents could enable more …

Heparin is a critical aspect of managing sepsis after abdominal surgery, which can improve
microcirculation, protect organ function, and reduce mortality. However, there is no clinical …

There is increasing interest in data-driven approaches for recommending optimal treatment
strategies in many chronic disease management and critical care applications …

Background: The growing complexity of patient data and the intricate relationship between
heart failure (HF) and acute kidney injury (AKI) underscore the potential benefits of …

Respiratory failure (RF) is a frequent occurrence in critically ill patients and is associated
with significant morbidity and mortality as well as resource use. To improve the monitoring …

Sepsis is a major cause of death and healthcare burden in worldwide intensive care units
(ICUs). Unfortunately, whilst the patient's condition is highly variable with the treatment …

Dry weight (DW), defined as the lowest tolerated postdialysis weight following the
ultrafiltration (UF) of excess fluid volume, is essential for any dialysis prescription for …