Preserving the history of medical technology and AI evolution in Canadian healthcare.
Explore the evolution from early diagnostic tools to modern AI-powered systems, documenting Canada's healthcare technology journey.
First computerized hospital information systems emerge in Canadian hospitals. Basic data storage and retrieval systems replace paper records at pioneering institutions like Toronto General Hospital. Computational power remains limited, but foundations for digital healthcare are established.
Rule-based expert systems attempt to replicate medical decision-making. Canadian researchers develop diagnostic algorithms for specific conditions. Limited by brittle logic and inability to learn from data, these systems demonstrate potential but face adoption challenges.
Machine learning algorithms begin analyzing medical images and electronic health records. Canadian hospitals pilot early AI diagnostic tools. Deep learning breakthroughs in computer vision enable medical imaging applications approaching human performance levels.
AI becomes integral to Canadian healthcare operations. Major hospitals deploy comprehensive AI systems across diagnostics, treatment planning, and operations. Regulatory frameworks mature, addressing safety, privacy, and ethical considerations as AI adoption accelerates nationwide.