Jones Anastasia, Tang Ryan, Dabo-Trubelja Anahita, Yeoh Cindy B, Richards Leshawn, Gottumukkala Vijaya
Department of Anesthesiology, Moffitt Cancer Center, Tampa, FL.
Department of Oncologic Sciences, Morsani College of Medicine, University of South Florida, Tampa, FL.
Indian J Anaesth. 2024 Nov;68(11):1016-1021. doi: 10.4103/ija.ija_578_24. Epub 2024 Oct 26.
Artificial intelligence (AI) was once considered avant-garde. However, AI permeates every industry today, impacting work and home lives in many ways. While AI-driven diagnostic and therapeutic applications already exist in medicine, a chasm remains between the potential of AI and its clinical applications. This article reviews the status of AI-powered ultrasound (US) applications in anaesthesiology and perioperative medicine. A literature search was performed for studies examining AI applications in perioperative US. AI applications for echocardiography and regional anaesthesia are the most robust and well-developed. While applications are available for lung imaging and vascular access, AI programs for airway and gastric US imaging solutions have yet to be available. Legal and ethical challenges associated with AI applications need to be addressed and resolved over time. AI applications are beneficial in the context of education and training. While low-resource settings may benefit from AI, the financial burden is a considerable limiting factor.
人工智能（AI）曾一度被视为前沿技术。然而，如今人工智能已渗透到各个行业，在许多方面影响着工作和家庭生活。虽然医学领域已经存在由人工智能驱动的诊断和治疗应用，但人工智能的潜力与其临床应用之间仍存在差距。本文综述了人工智能驱动的超声（US）在麻醉学和围手术期医学中的应用现状。我们对研究人工智能在围手术期超声应用的文献进行了检索。用于超声心动图和区域麻醉的人工智能应用最为成熟和发达。虽然肺部成像和血管穿刺方面也有相关应用，但气道和胃部超声成像解决方案的人工智能程序尚未出现。与人工智能应用相关的法律和伦理挑战需要随着时间的推移加以解决。人工智能应用在教育和培训方面是有益的。虽然资源匮乏地区可能会从人工智能中受益，但经济负担是一个相当大的限制因素。
