For the second annual McMaster Hackathon, a team of students represented the sports medicine department over a grueling non-stop 24 hour competition.
With nearly 200 students from all over Ontario competing ,the students created a program titled “Web-Based Tool For Diagnosis of FAI.” Their “hack” was used to diagnose the presence of FAI from X-rays and automated this process through by using machine learning to for algorithm optimization. The student team included (from left) Hassan Muhammad, Mushfiqur Rahman, and Stephen Murray (right), and were mentored by Dr. Olufemi Ayeni (second from right), Dr. Ivan Dzaja, and Andrew Duong.
Their ingenuity and efforts were awarded with both best project in healthcare and best overall hack/project.
To learn more about DeltaHacks, please click here.