Richi Shah
From Pixels to Precision
London Central Secondary School
As technology enters the medical world, robotic and minimally invasive surgeries are becoming increasingly common. However, these procedures can still be prone to errors caused by misrecognition of artifacts during operations, accounting for 30% of errors. This raises the question, what if there was a way to further improve precision and efficiency in these surgeries?
This project presents an innovative solution: a neural network that can accurately segment surgical tools from their surroundings. By mitigating the effects of misrecognition, this technology has the potential to revolutionize the field of surgery, transforming the way we approach surgical procedures.
Bronze Medal
University Scholarships
University of Alberta
Western University