Naaz Shagufta, Asghar Adil
Department of Anesthesiology, All India Institute of Medical Sciences, Patna, Bihar, India.
Department of Anatomy, All India Institute of Medical Sciences, Patna, Bihar, India.
J Anaesthesiol Clin Pharmacol. 2022 Jan-Mar;38(1):11-17. doi: 10.4103/joacp.JOACP_139_20. Epub 2022 Jan 28.
Nanotechnology with artificial intelligence (AI) can metamorphose medicine to an extent that has never been achieved before. AI could be used in anesthesia to develop advanced clinical decision support tools based on machine learning, increasing efficiency, and accuracy. It is also potentially highly troublesome by creating insecurity among clinicians and allowing the transfer of expert domain knowledge to machines. Anesthesia is a complex medical specialty, and assuming AI can easily replace the expert as a clinically sound anesthetist is a very unrealistic expectation. This paper focuses on the association and opportunities for AI developments and deep learning with anesthesia. It reviews the current advances in AI tools and hardware technologies and outlines how these can be used in the field of anesthesia.
纳米技术与人工智能相结合能够将医学提升到前所未有的高度。人工智能可应用于麻醉领域,基于机器学习开发先进的临床决策支持工具,提高效率和准确性。然而,它也可能带来极大麻烦,比如在临床医生中造成不安全感,还会使专家领域知识被机器取代。麻醉是一门复杂的医学专业,认为人工智能能轻易取代专家成为临床合格麻醉师是非常不现实的期望。本文重点探讨人工智能发展和深度学习与麻醉的关联及机遇。它回顾了人工智能工具和硬件技术的当前进展,并概述了这些技术如何应用于麻醉领域。