A major focus of academia, industry, and global governmental agencies is to develop and
apply artificial intelligence and other advanced analytical tools to transform health care …

Methods We performed a narrative review of the literature on Scopus, PubMed and
Cochrane databases. The research string comprised various combinations of “artificial …

BACKGROUND: Methods that can automate, support, and streamline the preanesthesia
evaluation process may improve resource utilization and efficiency. Natural language …

The field of anesthesia has always been at the forefront of innovation and technology, and
the integration of Artificial Intelligence (AI) represents the next frontier in anesthesia care …

This narrative review explores the utilization of machine learning (ML) and artificial
intelligence (AI) models to enhance perioperative cancer care. ML and AI models offer …

: Anesthesia is the process of inducing and experiencing various conditions, such as
painlessness, immobility, and amnesia, to facilitate surgeries and other medical procedures …

Background This study was conducted to elucidate the critical molecular pathways
underlying the protective effects of remifentanil against hepatic ischemia-reperfusion injury …

Artificial Intelligence in Perioperative Care: Opportunities and Challenges Artificial Intelligence in
Perioperative Care: Opportunities and Challenges Anesthesiology. 2024 Aug 1;141(2):379-387 …

Artificial intelligence (AI) has the capability of making decisions in real-time using well-
before techniques and computer technologies built through data analysis to instantly adapt …

Background We performed an analysis of a large intensive care unit electronic database to
provide preliminary estimates of various blood pressure parameters in patients with acute …