DIAGNOS Is Announcing a Collaboration with ETS on Automated Detection and Grading of Diabetic Retinopathy Using Deep Convolutional Neural Networks, (CNN) a New Generation of Deep Learning Technique

Diagnos Inc., a leader in early detection of critical health issues through the use of Artificial Intelligence (AI), announces a collaboration with ÉTS, École de technologie supérieure, an engineering school part of Université du Québec.The collaboration is funded in part by the Natural Science and Engineering Research Council of Canada (NSERC).  Our focus will be to measure the benefit of using deep convolutional neural networks in detecting anomalies of diabetic retinopathy and classifying the patient by level of severity.

The main outcome of this collaboration is to bring Diagnos’ algorithms to a newlevel of automation, speed and accuracy. “Diagnos is always interested in cutting-edge algorithms in deep learning and with this collaboration, this will enable Diagnos to engage with leading academics to develop state-of-the-art screening solutions,” said André Larente, CEO at Diagnos Inc.

Read More: Solving the Security Problem Means Solving the Human Problem

Under the supervision of Professor Ismail Ben Ayed, ÉTS students will work with Diagnos in using deep convolutional neural networks to detect anomalies caused by diabetic retinopathy and classify the patients by level of severity. The images will be provided by our CARA (Computer Assisted Retina Analysis) database. “A data-driven, large-scale and optimization based approach, which promises to deliver retinal image interpretation algorithms with a much higher practical impact,” said Professor Ismail Ben Ayed.

We anticipate that this partnership will increase automation, efficiency and precision for early identification and monitoring of diabetic retinopathy.  “Identifying patients in early stages of diabetic retinopathy is our main goal because we can treat them efficiently.  Our objective is to refer patients at high risk of going blind,” said Dr Hadi Chakor, CMO at Diagnos Inc.

Read More:  Why AI Should Mean Augmented Intelligence, Not Artificial Intelligence

This is our second collaboration project in Quebec this year.  “We are deeply committed to develop our ties in our community.  Our technology project with CHUM (Centre Hospitalier Universitaire de Montréal) was our first large investment in a teaching hospital. This announcement, with the financial support of Natural Science and Engineering Research Council of Canada (NSERC), represents the second step of our strategy to collaborate with an engineering school to foster innovation and speed up our go to market plan.  We are building the case from which to grab market share in the North America healthcare market,” said Yves-Stephane Couture, Vice-President of Sales at Diagnos.

Read More:  Do AI or Die – Advertisers Not Equipped to Utilize AI Will See Campaigns Fail