Optimising artificial intelligence ultrasound tools in anaesthesiology and perioperative medicine: The next frontier for advanced technology application.

IF 2.9 Q1 ANESTHESIOLOGY
Indian Journal of Anaesthesia Pub Date : 2024-11-01 Epub Date: 2024-10-26 DOI:10.4103/ija.ija_578_24
Anastasia Jones, Ryan Tang, Anahita Dabo-Trubelja, Cindy B Yeoh, Leshawn Richards, Vijaya Gottumukkala
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引用次数: 0

Abstract

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.

优化麻醉和围手术期医学中的人工智能超声工具:先进技术应用的下一个前沿。
人工智能(AI)一度被认为是前卫的。然而,人工智能渗透到今天的每个行业,在许多方面影响着工作和家庭生活。虽然人工智能驱动的诊断和治疗应用已经在医学中存在,但人工智能的潜力与其临床应用之间仍然存在鸿沟。本文综述了人工智能超声(US)在麻醉学和围手术期医学中的应用现状。对人工智能在美国围手术期应用的研究进行了文献检索。人工智能在超声心动图和局部麻醉方面的应用是最强大和最发达的。虽然肺成像和血管通路的应用程序可用,但气道和胃超声成像解决方案的人工智能程序尚未可用。与人工智能应用相关的法律和道德挑战需要随着时间的推移而得到解决。人工智能应用在教育和培训方面是有益的。虽然低资源环境可能受益于人工智能,但经济负担是一个相当大的限制因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.20
自引率
44.80%
发文量
210
审稿时长
36 weeks
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