Commercial applications of artificial intelligence and machine learning have made
remarkable progress recently, particularly in areas such as image recognition, natural …

Over the past decade, there has been an unprecedented international focus on improved
quality and availability of medical care, which has reignited interest in clinical automation …

In this paper, a novel cardiac sound spectral analysis method using the normalized
autoregressive power spectral density (NAR-PSD) curve with the support vector machine …

Background: Fuzzy logic is a multi-valued logic which is similar to human thinking and
interpretation. It has the potential of combining human heuristics into computer-assisted …

Smart remote patient monitoring and early disease diagnosis systems have made huge
progresses after the introduction of Internet of Things (IoT) and Artificial Intelligence (AI) …

Pharmacokinetic (PK)/pharmacodynamic (PD) modeling has made an enormous
contribution to intravenous anesthesia. PK/PD models have provided us with insight into the …

This paper provides a detailed review of the clinical aspect and engineering view of how to
measure, interpret, model, and control general anesthesia. The mechanisms of anesthesia …

Artificial intelligence (AI) is an adaptation of the human mind's way of decision making using
computer systems. Since many of the important problems we face in everyday life cannot be …

The granulation process is considered to be a crucial operation in many industrial
applications. The modelling of the granulation process is, therefore, an important step …

Anaesthesia is a multivariable problem where a combination of drugs are used to induce
desired hypnotic, analgesia and immobility states. The automation of anaesthesia may …