Artificial Intelligence for Healthcare in Canada: Contrasting Advances and Challenges.

Jacqueline K Kueper, Jay A Pandit
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Abstract

Artificial intelligence (AI)-enabled tools are transforming healthcare, offering potential benefits such as alleviating administrative burdens, optimizing workflows and supporting diagnostics and personalized treatment for improved patient outcomes. With the increasing availability of AI-enabled tools, it is important to consider the potential for both benefit and harm and what is needed to support generalizable and beneficial, equitable progress. This paper provides a brief history of AI advancements leading to the current state in Canada, reviews trends in applications and research, and discusses the balancing act between achieving positive and negative outcomes. Woven throughout are high-level overviews of concepts and references to key initiatives, regulations and guidelines relevant to the Canadian context as well as more in-depth, contrasting examples to highlight how the apparent explosion of AI is happening at varied paces across applications, specialties and regions. The piece includes system- and population-level perspectives on suspected future implications and needs as the number and type of AI-enabled tools used in healthcare increases.

人工智能在加拿大的医疗保健:对比进步和挑战。
支持人工智能(AI)的工具正在改变医疗保健,提供诸如减轻管理负担、优化工作流程以及支持诊断和个性化治疗以改善患者预后等潜在好处。随着支持人工智能的工具越来越多,重要的是要考虑潜在的利与弊,以及需要什么来支持可推广的、有益的、公平的进展。本文简要介绍了人工智能在加拿大的发展现状,回顾了应用和研究的趋势,并讨论了实现积极和消极结果之间的平衡。贯穿始终的是对概念的高层次概述,以及与加拿大背景相关的关键举措、法规和指导方针的参考,以及更深入的对比例子,以突出人工智能的明显爆炸是如何在不同的应用、专业和地区以不同的速度发生的。随着医疗保健中使用的人工智能工具的数量和类型的增加,这篇文章包括系统和人口层面对未来可能的影响和需求的看法。
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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