Progress of artificial intelligence in anesthesia and perioperative medicine

Journal Title: Perioperative Precision Medicine - Year 2024, Vol 2, Issue 1

Abstract

Perioperative medicine is a series of medical activities throughout the perioperative period, including preoperative optimization, intraoperative safety, postoperative rehabilitation, and other activities. Anesthesia is closely integrated with perioperative medicine to guarantee smooth progress of operations, comfortable recovery, and favorable long-term outcome for patients. There are a huge number of clinical data in anesthesia and perioperative medicine, and artificial intelligence (AI) has a powerful ability to analyze and evaluate data; thus, applying AI is a significant advantage in analysis and prediction based on real clinical big data in anesthesia and perioperative medicine. AI has made some progress in the field of anesthesiology and perioperative medicine. This review introduces the most encountered computerized techniques of AI in anesthesiology, main clinical applications themes of AI in anesthesiology, as well as limitations and ethical implications involved in deployment of this technology.

Authors and Affiliations

Wen-Hui Guo, Qing-Lai Zang, Bing Xu, Tian-Ying Xu, Zhan-Heng Chen, Miao Zhou

Keywords

Related Articles

Research progress of frontier image processing in medical endoscopes

In the modern medical diagnosis, digital medical images can provide physicians with a more accurate, visualized, and three-dimensional view of various tissues. These images assist in predicting, diagnosing, and treating...

Roles of post-translational modifications of C-type lectin receptor-induced signaling cascades in innate immune responses against Candida albicans

Candida albicans (C. albicans), a conditional pathogenic fungus, is widespread in nature and can live in symbiosis with organisms in small quantities. When the normal microflora is imbalanced, the epithelial barrier is d...

Medical image processing using graph convolutional networks: A review

Deep learning, especially graph convolutional networks (GCNs), has been widely applied in various scenarios. Particularly in the field of medical image processing, the research on GCNs have continued to make breakthrough...

MicroRNAs: Regulators of the host antifungal immune response

Fungi pose a severe threat to human health worldwide, especially to patients with weakened immune systems. Perioperative patients are at a high risk of fungal infection and death because of the immunosuppression caused b...

The interaction of Candida albicans with C-type lectin receptors

Candida albicans (C. albicans) is a ubiquitous commensal in the mammalian flora and the most prevalent fungal pathogen of humans. As an opportunistic fungus, C. albicans can cause mucosal and invasive infections. Invasiv...

Download PDF file
  • EP ID EP749971
  • DOI 10.61189/536468bkwzzn
  • Views 32
  • Downloads 0

How To Cite

Wen-Hui Guo, Qing-Lai Zang, Bing Xu, Tian-Ying Xu, Zhan-Heng Chen, Miao Zhou (2024). Progress of artificial intelligence in anesthesia and perioperative medicine. Perioperative Precision Medicine, 2(1), -. https://europub.co.uk/articles/-A-749971