News

Researchers at Waterloo Engineering have developed technology that uses artificial intelligence (AI) to identify collapsed lungs from chest x-rays with greater accuracy than radiologists.

The system can now identify 75 per cent of cases - compared to less than 50 per cent for medical experts using chest x-rays - and researchers are working to boost that rate to more than 90 per cent.

A new kind of imaging technology invented at Waterloo Engineering could tell cancer doctors exactly where to cut during surgery to remove tumors.

That would eliminate secondary surgeries to get malignant tissue that was missed the first time, which happens in about 10 per cent of all cancer cases that involve tumors.

Researchers at Waterloo Engineering are teaming up with a leading artificial intelligence (AI) institute and a network of Toronto hospitals to help doctors better read x-rays and diagnose patients.

Hamid Tizhoosh, who heads the Laboratory for Knowledge Inference in Medical Image Analysis (KIMIA Lab) at Waterloo, called working with hospitals to use AI “the most thrilling thing I have ever done in my career.”

Passions for the sport of cricket and image processing came together in an impressive way for three students in a master’s class at Waterloo Engineering.

The project they produced uses deep-learning artificial intelligence (AI) to select highlights from hours of match video by recognizing the gestures made by umpires after significant plays.

“The umpire is shown almost every time after these events,” said Aravind Ravi, who is doing a graduate degree in systems design engineering. “We just used that.”

An electrical and computer engineering professor at the University of Waterloo has been awarded $1.65 million under a federal program designed to train Canada's researchers of tomorrow.

Alfred Yu, who is cross-appointed to applied mathematics, will receive funding over six years through the Collaborative Research and Training Experience (CREATE) program of the Natural Sciences and Engineering Research Council of Canada (NSERC).

A laboratory at Waterloo Engineering is part of a consortium that recently won up to $49 million in federal funding to accelerate the application of artificial intelligence (AI) and machine-learning technologies in health care.

The Knowledge Inference in Medical Image Analysis (KIMIA) lab is headed by Hamid Tizhoosh, a systems design engineering professor and expert in medical image analysis.

A digital X-ray imager developed by a Waterloo Engineering startup is being tested on cancer patients with lung nodules in a pilot study at Grand River Hospital in Kitchener.

The new technology is faster and cheaper than traditional CT scans, and has the potential to detect lung cancer earlier and with less radiation exposure.

A research group at Waterloo Engineering is the first Canadian academic member of a global organization dedicated to studying and formulating best practices on artificial intelligence (AI) technologies.

The Vision and Image Processing (VIP) Lab in systems design engineering was announced yesterday as one of 10 new organizations in the Partnership on AI to Benefit People and Society.

A blog post, written by a visually impaired person about the challenges she faced trying to use the office’s new touch screen coffee maker, was the inspiration behind a recent Waterloo Engineering Capstone Design project that captured top honours in the Canadian leg of this year’s James Dyson Award.

Governments may soon be able to use artificial intelligence (AI) to easily and cheaply detect problems with roads, bridges and buildings.

A new AI software system developed by researchers at Waterloo Engineering automatically analyzes photographs taken by vehicle-mounted cameras to flag potholes, cracks and other defects.