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This project aims to improve the early detection of pressure injuries (PIs) in children with disabilities who wear casts for long periods. PIs occur when continuous pressure over bony areas damages the skin, leading to pain, infections, and longer hospital stays. Currently, it is difficult to monitor the skin under a cast because it cannot be seen or touched. This study will use thermal imaging to measure temperature changes through the cast material, which may indicate early signs of skin damage. By analyzing these thermal patterns and developing machine learning models, the project seeks to improve how hospital staff monitor and protect the skin health of casted children. This approach could enhance patient care and reduce complications, benefiting both children and the healthcare system.
Tom Chau
Holland Bloorview Kids Rehabilitation Hospital
Engineering
Health and Related Sciences & Technology
University of Toronto
Elevate
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