The aim of this work was to develop and evaluate the reinforcement learning algorithm
VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for …

Mechanical ventilation is a key form of life support for patients with pulmonary impairment.
Healthcare workers are required to continuously adjust ventilator settings for each patient, a …

Introduction In recent years, reinforcement learning (RL) has gained traction in the
healthcare domain. In particular, RL methods have been explored for haemodynamic …

Background Reinforcement learning (RL) provides a promising technique to solve complex
sequential decision making problems in health care domains. To ensure such applications …

Background Reinforcement learning (RL) provides a promising technique to solve complex
sequential decision making problems in healthcare domains. Recent years have seen a …

Mechanical ventilation (MV) is a core life-support therapy for patients suffering from
respiratory failure or acute respiratory distress syndrome (ARDS). Respiratory failure is a …

Background While early mobilization is commonly implemented in intensive care unit
treatment guidelines to improve functional outcome, the characterization of the optimal …

Progress of machine learning in critical care has been difficult to track, in part due to
absence of public benchmarks. Other fields of research (such as computer vision and …

Objectives: Unexpected ICU readmission is associated with longer length of stay and
increased mortality. To prevent ICU readmission and death after ICU discharge, our team of …

With recent advances in electronic data availability, algorithms and computing power, the
potential of artificial intelligence (AI) in the care of the critically ill patients has increased …