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.