Funded by Scale AI, the AI-SCOUT project is designed to support patient recovery during the critical first 90 days post radiation therapy.
Amii was named as part of a $900K AI health project named AI-SCOUT. Announced by Scale AI, the project is named as part of its recent Pan-Canadian Hospital Initiative of applied AI project investments totalling $5M.
For the AI-SCOUT project, Amii and Zamplo, an Alberta-based health tech company, are partnering to combat a critical challenge in cancer treatment: the unpredictable and often severe side effects of radiation therapy, specifically during the most critical first 90 days post radiation therapy.
Leveraging its deep expertise in artificial intelligence and machine learning, Amii will apply AI to combine socio-demographic, medical and non-medical data to identify patients at higher risk of developing post-treatment complications. The resulting intelligent insights will allow healthcare teams to provide proactive, personalized care, while educating patients on actions they can take to reduce the risk of adverse events. Overall, the project is expected to improve recovery outcomes, particularly for patients in rural or remote communities.
“This project shows how AI can address urgent and complex health care challenges, and apply solutions in a way we’ve never been able to do before,” says Marlene McNaughton, Amii’s Chief Revenue Officer. “Through our collaboration, Zamplo will be able to advance predictive ML models to help clinicians, caregivers, and community stakeholders proactively identify patients at higher risk of an adverse event, preventing emergency room visits before they happen and delivering truly personalized, proactive care."
What sets this project apart is the ability to securely and privately gather data directly from patients, and share the explainable ML model results back to them so that they have agency over their own health.
Mike Urquhart.
Chief Executive Officer, Zamplo
“Since our founding, Zamplo has been committed to bridging the gap between healthcare and home to increase patient engagement and improve outcomes, while supporting improved clinical care,” says Zamplo Chief Executive Officer Mike Urquhart. “What sets this project apart is the ability to securely and privately gather data directly from patients, and share the explainable ML model results back to them so that they have agency over their own health.”
While a life-saving treatment for over half of all cancer patients, radiation therapy may cause life-altering adverse effects, from a reduced quality of life to long-term and even life-threatening complications. A recently published study of more than 15,000 radiation therapy patients treated at University Health Network (UHN) shows that a significant number of recovery patients required unplanned follow-up within the first 90 days of treatment. This project will address the urgent need to move away from a "one-size-fits-all" approach to a more personalized and proactive form of radiation therapy.
“After radiation therapy, the first 90 days are critical,” says Phillip Wong, Clinical Investigator, UHN’s Princess Margaret Cancer Centre. “Many patients face complications that bring them back to the hospital unexpectedly. This initiative will help clinicians identify those at higher risk sooner and take earlier action to support recovery—potentially preventing an emergency visit altogether.”
This initiative will help clinicians identify those at higher risk sooner and take earlier action to support recovery—potentially preventing an emergency visit altogether.
Dr. Phillip Wong
Clinical Investigator, UHN’s Princess Margaret Cancer Centre
Funded by Scale AI, the 16-month project will draw on the unique strengths of both partners.
Zamplo, a health-based platform that empowers patients to collect, manage, and analyze their own health data, will provide the crucial domain expertise. Amii will provide its world-leading machine learning expertise and oversee the technical delivery with a dedicated team, including a new machine learning resident and a full-time Amii scientist. The project began on September 1, 2025.

