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AI-guided Supply Chain Optimization and Uptake for post-Treatment patient care (AI-SCOUT)
The AI-SCOUT project focuses on improving post-treatment care for patients who have completed radiation therapy. By combining clinical, socio-demographic, and non-medical data, AI-SCOUT will use artificial intelligence to identify patients at higher risk of developing radiation related complications. This insight is intended to help teams provide proactive, personalized follow-up, reduce emergency visits, and improve recovery outcomes—especially for patients in rural or remote communities who travel long distances for care. Students will participate in helping the team in recruiting patients participants, deploy the Zamplo web app, formulate strategies to intake and analyze patient data derived from Zamplo into the University Health Network (UHN). Students will also participate in the development of other AI tools within the UHN to improve operational efficiency and patient communication.
Faculty Supervisor:
Philip Wong
Student:
Partner:
Zamplo
Discipline:
Life Sciences
Sector:
Professional, scientific and technical services
University:
University Health Network
Program:
Accelerate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.