Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in
various industries, especially medicine. AI describes computational programs that mimic and …

Reinforcement learning (RL) can assist in medical decision making using patient data
collected in electronic health record (EHR) systems. RL, a type of machine learning, can use …

The Internet of Medical Things (IoMT) is the new digital healthcare application paradigm that
offers many healthcare services to users. IoMT-based emerging healthcare applications …

In artificial intelligence, deep learning (DL) is a process that replicates the working
mechanism of the human brain in data processing, and it also creates patterns for decision …

Text-to-image synthesis is widely used in many applications, such as virtual reality, game
development, image editing, etc. It is a challenging task that requires the conversion of …

It has been said that COVID-19 is a generational challenge in many ways. But, at the same
time, it becomes a catalyst for collective action, innovation, and discovery. Realizing the full …

Sepsis is a life-threatening condition with a high in-hospital mortality rate. The timing of
antibiotic administration poses a critical problem for sepsis management. Existing work …

Introduction The integration of artificial intelligence (AI) into clinical pharmacology could be a
potential approach for accelerating drug discovery and development, improving patient care …

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

Multi-agent reinforcement learning (MARL) has been gaining extensive attention from
academia and industries in the past few decades. One of the fundamental problems in …