[ad_1]
June 6, 2019
The University of Waterloo's Kimia Lab today announced its participation in the $ 126-million Consortium for Image-Guided Therapy (ICIGT) led by the Sunnybrook Research Institute, with the Canadian government partnership .
The Canadian government, through its Strategic Innovation Fund, will invest up to $ 49 million to support the ICIGT initiative, which, in addition to Kimia Lab and Huron Digital Pathology, has more than 70 partners in the industry, universities, government organizations and not for profit. The consortium 's mandate is to accelerate the application of artificial intelligence and machine learning technologies to achieve better health outcomes, faster diagnostics, and better results. Safer treatments that minimize the side effects and length of stays in the hospital.
Kimia and Huron's project at ICIGT aims to develop intelligent algorithms for consensus building and automatic reporting in digital pathology to improve the speed, cost and accuracy of diagnosis . Huron, in technical partnership with the Kimia Lab, recently introduced the world's first image search engine, which connects pathologists with the vast knowledge contained in the world's pathology reports.
This is a historic opportunity to initiate a major change in diagnostic pathology. Self-reporting based on AI will be the main outcome of the project, thus allowing for reaching consensus by accessing large histopathological image archives and learning from past cases clearly diagnosed. "
Professor Hamid Tizhoosh, Director of the Kimia Laboratory at the University of Waterloo
With this project, we will develop and bring to market innovative technology that addresses a critical shortage of pathologists in Canada and around the world. Together with our fellow members of ICIGT and with the support of the Canadian government, we are positioning Canada more as a world leader in advanced medical technologies. "
Patrick Myles, CEO of Huron Digital Pathology
[ad_2]
Source link
