Diabetes Action Canada Research Spotlight -T1D & AI in Diabetic Retinopathy Screening -July 22, 2020

Описание: In this webinar series we continue to learn from our Patient Partners and trainees. This week we will feature the following:

Person Impact Story: Debbie Sissmore
Debbie is the Patient Partner co-lead for the Diabetic Retinopathy Screening Program and serves on the Diabetes Action Canada Steering Council. She has been living with type 1 diabetes (T1D) for 50 years. Due to diabetic retinopathy, she completely lost her eyesight 25 years ago.

Restructuring Type 1 Diabetes and Exercise Research in the Context of Patient Engagement
o Presented by: Nika Klaprat
Interested in type 1 diabetes and exercise? Nika Klaprat, is engaging researchers and individuals living with type 1 diabetes (patients and caregivers), to increase capacity for patient-oriented research in type 1 diabetes and exercise by determining a core set of variables to measure in all trials, identifying preferences for attributes of exercise programs, and co-designing research protocols.

Narrative inquiry into understanding the type 1 diabetes lived experience and its motivations in seeking diabetes health services and education in Alberta
o Presented by: Jamie Boisvenue
For many living with type 1 diabetes insulin pumps are the chosen path for insulin replacement therapy, but is it the best for everyone? Jamie Boisvenue will describe how hearing the life stories of people living with type 1 diabetes on pump or multiple daily injections, could have an impact on diabetes health seeking behaviours in Alberta.

Artificial Intelligence for Diabetic Retinopathy Screening
o Presented by: Gabriel Lepetit-Aimon & Clément Playout
Diabetic retinopathy is a complication that is of great concern for all members of the diabetes community. Investigators that are part of Diabetes Action Canada are currently working to scale and spread the tele-ophthalmology screening in Ontario, BC and Quebec, but what about the increased workload of grading these images? Learn about this innovative approach grading retinal images for automated diabetic retinopathy diagnosis using machine learning and artificial intelligence from our trainees Gabriel Lepetit-Aimon and Clément Playout.

*Moderator: Tracy McQuire