Deep learning (DL), as one of the most active machine learning research fields, has
achieved great success in numerous scientific and technological disciplines, including …

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

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 …

Personalized clinical decision support systems are increasingly being adopted due to the
emergence of data-driven technologies, with this approach now gaining recognition in …

Common treatments in Intensive Care Units frequently involve prolonged sedation.
Maintaining adequate sedation levels is challenging and prone to errors including: incorrect …

Natural Language Processing (NLP) is a key technique for developing Medical Artificial
Intelligence (AI) systems that leverage Electronic Health Record (EHR) data to build …

Proper insulin management is vital for maintaining stable blood sugar levels and preventing
complications associated with diabetes. However, the soaring costs of insulin present …

As reinforcement learning (RL) systems are deployed in various safety-critical applications, it
is imperative to understand how vulnerable they are to adversarial attacks. Of these, an …

Aim To review and appraise the quality of studies that present models for causal inference of
time-varying treatment effects in the adult intensive care unit (ICU) and give …

This paper investigates policy resilience to training-environment poisoning attacks on
reinforcement learning (RL) policies, with the goal of recovering the deployment …