Manitoba Integrates AI in Health System to Enhance MRI Efficiency

Manitoba’s health system is entering a new era with the integration of artificial intelligence (AI) in medical imaging. A growing number of MRI machines across the province are adopting AI technology, with plans to have over half of the region’s machines equipped by spring 2026. This advancement promises not only enhanced image quality but also significantly reduced scan times, as confirmed by Dr. AbdulRazaq Sokoro, chief operating officer of provincial diagnostic services for Shared Health.

According to Sokoro, the incorporation of AI reduces the time needed for MRI scans from approximately 20 minutes to just 10 minutes, providing a streamlined experience for patients without any noticeable difference in the process. The latest MRI machines, including a mobile unit based at Thompson General Hospital, come pre-installed with this technology, while existing units are being retrofitted to accommodate AI capabilities sourced from Siemens Healthineers.

As the province works to address long waitlists for MRI services, Sokoro emphasizes that AI is a key part of their strategy. “This technology has been a centre of our strategy to deal with the wait list,” he stated. With nine out of the province’s 14 scanners, including those at Boundary Trails Health Centre and the Pan Am Clinic, set to adopt AI by spring 2026, there is optimism about improving patient access and reducing delays.

Positive Early Results and Future Plans

Since the implementation of AI, preliminary data indicates encouraging results. Health Minister Uzoma Asagwara noted that the Boundary Trails facility achieved an all-time high of 1,051 scans in October 2025, marking a significant increase in productivity compared to the same month in 2022. At the Pan Am Clinic, productivity surged by 90 percent during the same timeframe, while the Health Sciences Centre (HSC) recorded a 24 percent increase in productivity following the full implementation of AI technology.

These advancements are not limited to MRI machines. AI is also being utilized in various aspects of Manitoba’s healthcare system, including weapons detection systems at HSC and a pilot program for note-taking during doctor appointments. Asagwara emphasized the importance of collaborating with experts to identify additional opportunities for AI integration in healthcare, stating, “How can AI really be a tool that helps improve care and outcomes for Manitobans?”

AI’s Role in Cancer Treatment Scheduling

The impact of AI extends to CancerCare Manitoba, where a new scheduling tool for chemotherapy appointments is being developed. According to Ken Borce, the former vice-president of clinical operations and chief nursing officer at CancerCare Manitoba, this tool aims to optimize appointment scheduling, allowing staff to focus more on patient care.

Currently, Winnipeg has 66 chemotherapy chairs and averages 5,519 treatments each month. The goal of the AI scheduling system, created by Gray Oncology Solutions, is to streamline the appointment process, enabling quicker access to care while maintaining high standards of patient safety and quality. Borce reassured that this innovation does not compromise critical thinking or clinical judgment.

“Keeping patients safe and quality of care have been paramount while working on the implementation of the platform,” Borce stated. The new scheduling tool is expected to be operational by next year, and no positions will be eliminated due to its introduction.

As Manitoba continues to embrace AI technology, the health system aims to enhance efficiency and improve outcomes for patients, while also supporting healthcare professionals in their vital roles. The province’s commitment to leveraging innovative solutions reflects a forward-thinking approach to healthcare delivery in an ever-evolving landscape.