Using digital models and visualization to help patients better understand prognosis and uncertainty
Radiation Oncologist, London Health Sciences Centre Understanding prognosis is important for treatment decisions, life planning, and psychological well-being in patients with metastatic disease. Physicians are increasingly using statistical and AI-based models for prognosis estimates, but these are inaccessible to patients. No models are designed specifically for patient use. How are patient interactions with prognosis models…
Read MoreAutomating pre-procedure fasting instruction
Aaron’s team will improve the patient experience for the large number of people undergoing medical and surgical procedures by using digital technology to set up a real-time instruction system about when to stop eating and drinking pre-procedure
Read MoreUsing A.I. to develop a personalized decision tool for managing vasomotor symptoms in breast cancer patients
Sharon’s research will use machine learning to individualize and improve the effectiveness of treatment for hot flashes and night sweats for breast cancer patients.
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