… keywords “artificial intelligence, machine learning, and anesthesia” in … dealing with machine
learning, use of robots in anesthesia, … of AI and its role in anesthetic care with the objective of …

… intersection of artificial intelligence (AI) and anesthesia, examining its transformative impact
on patient care across various phases. Beginning with a historical overview of anesthesia, …

… artificial intelligence and anesthesia research identified and summarized six themes of
applications of artificial intelligence … on machine learning and its applications to clinical care. To …

… the interest in deploying AI in health care settings. Although the predictive value of AI
platforms was explored above, we will consider its potential role in automation of anesthesia. …

… from integration into general anesthesia, these technologies have the … anesthesia, and
also touches upon its roles in preoperative assessments, postoperative and chronic pain care, …

… ’ knowledge, exposure, and perceptions of artificial intelligence (AI) and their associations
with … integrating AI in anesthesia to enhance patient care and advance the profession. …

… care. Data-driven approaches and artificial intelligence (AI) can help deliver high-quality
care … to critically evaluate the elementary components of anesthesia care, which is to achieve …

… From the introduction of ether in the mid-19th century to the development of modern anesthetic
agents, anesthesia care has continuously evolved to improve patient outcomes [2]. As a …

… proposes an intelligent detection for anesthesia based on … anesthesia depth prediction.
Finally, the validation of the proposed algorithm was completed on the sevoflurane anesthesia …

… , artificial intelligence, and machine learning to tasks in an attempt to improve patient safety
and anesthesia … is not a simple problem, 52 but embedding 53 the machine in the care of the …