June 5, 2024

Speeding up arm fracture detection with AI

Developing a valuable triage tool in pediatric emergency departments could help shorten wait times and save costs

About one out of every five visits to emergency rooms in Canada is because of suspected upper limb injuries. In Alberta, it’s one of the most common reasons a child seeks medical care.

These injuries – like a fracture at the wrist, elbow, or shoulder rotator cuff tear – are usually examined using X-rays which might require travel to a hospital, time-consuming transfers within an emergency department and a minor radiation risk.

Shrimanti Ghosh is using her background in computing science, mathematics and deep learning to develop artificial intelligence (AI) tools that can automatically identify injuries in ultrasound of children’s wrists and elbows.

“Using a point-of-care ultrasound with automated image interpretation is a faster, radiation-free alternative to X-rays,” says Ghosh, a WCHRI postdoctoral fellow in the Department of Radiology & Diagnostic Imaging.

Learn more about Shrimanti Ghosh’s postdoctoral fellowship