Background Decision support systems based on reinforcement learning (RL) have been
implemented to facilitate the delivery of personalized care. This paper aimed to provide a …

This scoping review focuses on the essential role of models for causal inference in shaping
actionable artificial intelligence (AI) designed to aid clinicians in decision-making. The …

In this paper, a controller is proposed to automate the injection of propofol and remifentanil
during general anesthesia using bispectral index (BIS) measurement. To handle the …

In this paper, a nonovershooting tracking controller is proposed for the continuous infusion
of multiple drugs that have interactive effects. The proposed controller design method …

In this paper, a multi-model predictive control approach is used to automate the co-
administration of propofol and remifentanil from bispectral index measurement during …

Current treatment recommendations mainly rely on rule-based protocols defined from
evidence-based clinical guidelines, which are difficult to adapt for high-risk patients such as …

This chapter provides an overview of the advances in personalized medicine aided by
reinforcement learning (RL). Precision medicine is intended to match targeted therapies to a …

We propose a rapid nonovershooting tracking controller for the continuous infusion of
anesthetics and analgesics to prevent overdosing and other harmful side effects on patients …

Administering sedation to patients to avoid underdosing and overdosing is an important
clinical task that remains hard to control due to lack of precision in current methods of …

This chapter presents a general framework that utilizes reinforcement learning (RL)-based
method to regulate multiple parameters during intravenous drug administration. First, the Q …