Recent advancements in artificial intelligence (AI) techniques have enabled the
development of accurate prediction models using clinical big data. AI models for …

Background Risk stratification plays a central role in anesthetic evaluation. The use of Big
Data and machine learning (ML) offers considerable advantages for collection and …

Background The utilization of artificial intelligence and machine learning as diagnostic and
predictive tools in perioperative medicine holds great promise. Indeed, many studies have …

Abstract Purpose of Review The purpose of this review is to summarize the current research
and critically examine artificial intelligence (AI) technologies and their applicability to the …

The use of artificial intelligence (AI) and machine learning (ML) in anesthesiology and
perioperative medicine is quickly becoming a mainstay of clinical practice. Anesthesiology is …

AI is a field of study that encompasses a combination of disciplines as disparate as computer
science, psychology, user experience, ergonomics, and engineering. The ultimate goal of AI …

The anesthesiologist's role has expanded beyond the operating room, and anesthesiologist-
led care teams can deliver coordinated care that spans the entire surgical experience, from …

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 …

Surgical complications pose significant challenges for surgeons, patients, and health care
systems as they may result in patient distress, suboptimal outcomes, and higher health care …

Background This study aims to develop a machine learning-based application in a real-
world medical domain to assist anesthesiologists in assessing the risk of complications in …