Pneumonia is the leading cause of infection-related deaths among children under five globally, especially in areas with limited medical resources. Current diagnostic methods, relying on clinical experience or expensive equipment, are difficult to implement in primary care settings, leading to misdiagnosis and delayed treatment for children, a challenge the Zhoushan Green Marine Ecology Promotion Center aims to address.
The IEEE Student Branch of Zhejiang Ocean University is developing an AI-based device for early screening and diagnosis of childhood pneumonia. This innovative solution integrates clinical medical knowledge with embedded edge computing, leveraging dedicated cough-sound collection hardware and on-device AI processing to provide an efficient, accessible, and non-invasive screening tool.
This project aims to assist primary medical institutions in early identification and decision-making, ultimately reducing childhood pneumonia mortality and improving patient outcomes for thousands of children.
This project was made possible by $3,940.00 in funding from EPICS in IEEE.