Garg Shaloo, Kapoor Mukul Chandra
Department of Anaesthesiology and Critical Care, Amrita School of Medicine, and Amrita Hospital, Faridabad, Haryana, India.
Indian J Anaesth. 2024 Jan;68(1):87-92. doi: 10.4103/ija.ija_1198_23. Epub 2024 Jan 18.
Artificial intelligence (AI) is making giant strides in the medical domain, and the field of anaesthesia is not untouched. Enhancement in technology, especially AI, in many fields, including medicine, has proven to be far superior, safer and less erratic than human decision-making. The intersection of anaesthesia and AI holds the potential for augmenting constructive advances in anaesthesia care. AI can improve anaesthesiologists' efficiency, reduce costs and improve patient outcomes. Anaesthesiologists are well placed to harness the advantages of AI in various areas like perioperative monitoring, anaesthesia care, drug delivery, post-anaesthesia care unit, pain management and intensive care unit. Perioperative monitoring of the depth of anaesthesia, clinical decision support systems and closed-loop anaesthesia delivery aid in efficient and safer anaesthesia delivery. The effect of various AI interventions in clinical practice will need further research and validation, as well as the ethical implications of privacy and data handling. This paper aims to provide an overview of AI in perioperative monitoring in anaesthesia.
人工智能(AI)在医学领域正取得巨大进展,麻醉领域也受到了影响。在包括医学在内的许多领域,技术的进步,尤其是人工智能,已被证明比人类决策更优越、更安全且更稳定。麻醉与人工智能的交叉领域有潜力推动麻醉护理取得建设性进展。人工智能可以提高麻醉医生的效率、降低成本并改善患者预后。麻醉医生处于有利位置,可以在围手术期监测、麻醉护理、药物输送、麻醉后护理单元、疼痛管理和重症监护病房等各个领域利用人工智能的优势。麻醉深度的围手术期监测、临床决策支持系统和闭环麻醉输送有助于实现高效、安全的麻醉输送。各种人工智能干预措施在临床实践中的效果需要进一步研究和验证,以及隐私和数据处理方面的伦理问题。本文旨在概述人工智能在麻醉围手术期监测中的应用。