Artificial Intelligence in the Canadian Healthcare System: Scaling From Novelty to Utility.

Jacqueline K Kueper, Jay A Pandit
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Abstract

The series of papers in this issue discusses artificial intelligence (AI) for healthcare in Canada, including key milestones and efforts, current trends and future needs for Canada to progress from being a leader in AI development to responsible and ethical AI adoption that advances the quintuple aim. Three key discussion themes to support this bridge include: datasets, generalizability and equity; efficiency and evaluation; and focusing on the system rather than the product. Partnerships and interdisciplinary teamwork are essential, and the commentaries highlight perspectives from patients, providers and educators. AI for healthcare poses immense potential for both benefit and harm, and Canada has the essential building blocks and shared values to start pushing the balance toward benefit and improve health and well-being across its diverse geography and populations.

加拿大医疗保健系统中的人工智能:从新奇到实用的扩展。
本期的一系列论文讨论了加拿大医疗保健领域的人工智能(AI),包括加拿大从人工智能发展的领导者发展到负责任和合乎道德的人工智能采用以推进五大目标的关键里程碑和努力、当前趋势和未来需求。支持这一桥梁的三个关键讨论主题包括:数据集、概括性和公平性;效率与评价;关注系统而不是产品。伙伴关系和跨学科团队合作至关重要,评论强调了患者、提供者和教育工作者的观点。人工智能在医疗保健领域具有巨大的利与弊潜力,加拿大拥有必要的基石和共同的价值观,可以开始在其不同的地理位置和人口中推动利益平衡,改善健康和福祉。
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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