The Challenge
The AI-SCOUT project focuses on improving post-treatment care for patients who have completed radiation therapy. A recently published study of more than 15,000 radiation therapy patients treated at University Health Network (UHN) shows that a significant number of them required unplanned follow-up within the first 90 days after treatment. By combining clinical, socio-demographic, and non-medical data, AI-SCOUT will use artificial intelligence to identify patients at higher risk of developing 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.
“After radiation therapy, the first 90 days are critical. 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.”
– Philip Wong, Clinician Investigator, UHN’s Princess Margaret Cancer Centre
Investment
$
0.8
M
Scale AI investment
$
0.9
M
Total investment
Partners
