Utilizing AI to Predict Non-Invasive Ventilation Need in Neuromuscular Disorders: A Proof of Concept
2024
Lead investigator
Collaborators & Co-Investigators
- Reshma Amin, MD, MSc, FRCPC (Co-PI)
- Laura McAdam, MD, MSc, FRCP(C) (Co-PI)
Research Sites & Affiliations
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada
Budget: $99,891.29
Disorders: Duchenne/Becker Muscular Dystrophy
Research Areas: Understand Diagnosis and Disorder Progression , Advance Treatment and Care
Abstract:This study focuses on Duchenne Muscular Dystrophy (DMD), a serious muscle disorder. People with DMD eventually need help to breathe, and currently, doctors decide when to start this help based on symptoms and sleep tests, which can be slow. This study aims to change this by using artificial intelligence (AI) to predict when patients will need breathing support. This early warning can lead to better care and improved health. The AI tool developed for this study can also be used for other similar disorders. By using this new approach, this study can help doctors manage breathing problems in muscle disorders more efficiently. The findings from this study also have the potential to lead to new ways to treat and manage these disorders. In short, this study is creating a new way to help people with DMD, which could also help many others with similar health issues.
Impact: