Artificial intelligence (AI) demonstrated by machines is based on reinforcement learning and
revolves around the usage of algorithms. The purpose of this review was to summarize …

Artificial intelligence (AI) has recently become a ubiquitous term, occurring frequently in as
diverse media as newspapers to political debates to medical articles. However, there is often …

Here is my prophecy: In its final development, the telephone will be carried about by the
individual, perhaps as we carry a watch today. It probably will require no dial or equivalent …

Predicting dam inflow is necessary for effective water management. This study created
machine learning algorithms to predict the amount of inflow into the Soyang River Dam in …

Machine learning is increasingly used to analyze information generated by electronic health
record systems and other large public health datasets. 1, 2 It is a field of artificial intelligence …

Background and objective The principal challenges in the field of anesthesia and intensive
care consist of reducing both anesthetic risks and mortality rate. The ASA score plays an …

Abstract The widely used American Society of Anesthesiologists Physical Status (ASA PS)
classification is subjective, requires manual clinician review to score, and has limited …

Supply Chain Management (SCM) plays a very vital role in managing and organizing
enterprise processes, increasing operational efficiency of the organization. Factors such as …

This paper presents an Expert System for prediction of Anesthesia machines performance
and inspection requirements. It consists of Artificial Neural Network and Fuzzy classifier. The …

The applications of artificial intelligence (AI) and machine learning (ML) have shown
promising results in healthcare. However, while many advances have been made to …