A Kitchener-based medtech company has developed an innovative system that uses artificial intelligence (AI) to detect post-operative complications early, improving patient outcomes.
FluidAI was co-founded in 2014 by Waterloo Engineering alumni Youssef Helwa (BASc ’15, nanotechnology, MASc ’17) and Amr Abdelgaward (BASc ’16, nanotechnology, MBET ’17) and makes use of novel sensors and machine learning algorithms to monitor patient recovery after surgery.
FluidAI’s initial device focused on monitoring patients for post-operative leaks following abdominal surgery. Using AI-driven software to integrate health record data into the hardware, the company has extended its tech’s post-operative care capabilities to improve accuracy and possibly enable the detection of sepsis and respiratory depression.
“Surgeons have long sought a solution to the uncertainties of post-operative complications. Our answer was to develop a hardware platform that uses AI to provide immediate insights right at the bedside,” says Helwa, CEO and co-founder of FluidAI. “By delivering real-time data directly to the clinical setting, our platform helps facilitate early intervention and better patient care.’”
In Canada, FluidAI is completing its first commercial deployment at St. Michael’s Hospital in Toronto. The company has secured regulatory approvals across the Middle East and is actively selling in that region. Regulatory approval in the United States is expected this year, further accelerating the company’s growth.
Go to Leading the way in AI-driven post-operative care for the full story.