AWS, Patriot One collaborate on COVID-19 AI project

By William Smith
Defence technology firm Patriot One technologies has announced it is collaborating with a number of organisations on a COVID-19 AI project. Patriot One...

Defence technology firm Patriot One technologies has announced it is collaborating with a number of organisations on a COVID-19 AI project.

Patriot One Technologies’ subsidiary Xtract AI, Amazon Web Services, Vancouver General Hospital, the University of British Columbia and SapienML are using data from CT and X-ray scans, labelled by radiologists, to train an AI network to identify abnormalities in the lungs, a key indicator for COVID-19. 

Martin Cronin, CEO of Patriot One Technologies said in a press release: “This is an incredibly important project, which we are proud to be a collaborator on, and we hope that our team and technology can provide a meaningful addition to the ongoing efforts to minimise COVID-19’s impact on the world.”


“AI models are not magic, but this model we’ve developed is an open source gift to start answering questions,” said Dr. William Parker, who is leading the project, and is a radiology resident at UBC. “If we are going to get to the point of helping patients, we need to know the strengths and weaknesses of the models, and we need to have an understanding that not all models are created equal. The goal of our AI model is to drive feedback so that we can improve the model and make it available for clinical use in the fall of 2020.”

This is far from the only example of technology firms bringing their AI and data credentials to bear on the pandemic. Recently, technology firm NVIDIA expanded its Clara healthcare platform - a framework for AI-powered imaging, genomics, and for the development and deployment of smart sensors - with genome sequencing software, AI models to help with disease detection and video analytics and speech recognition software to reduce staff exposure in hospitals.

Elsewhere, Hitachi Vantara and healthcare blockchain firm BurstIQ collaborated on exposing datasets on COVID-19 to researchers and clinicians, in order to establish its relationship with other health conditions.


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