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COVID-19


AI aids doctors assess Covid-19 CT scans


Artificial intelligence is helping doctors assess CT scans of the lungs of patients infected with the Covid-19 virus. Infervision's coronavirus AI system,


co-developed by Wuhan Tongji Hospital in China, is one such software platform, which has been installed at the Campus Bio-Medico University Hospital in Rome to screen and diagnose Covid-19 patients. Tongji Hospital in Wuhan, China was one


of the first health centres in the world to equip itself with radiological AI solutions from Infervision in 2015, and asked the company for support when the Covid-19 crisis broke out. Te AI models are trained on CT images of the lungs of Covid-19 cases in Wuhan. Te model is trained to detect possible coronavirus lesions in the CT scan, and to measure their volume, shape and density. It


Infervision's InferRead AI system


can also compare changes of multiple lung lesions, all of which helps the doctor make quick decisions. Infervision's AI system can analyse a CT


scan in 50 seconds. Large-scale projects in Europe - the


Imaging Covid-19 AI initiative - and in the US, have now been established to build medical image data repositories for training AI systems to spot signs of Covid-19.


Computer vision helps enforce social distancing


Computer vision technology from Zensors, a firm spun out of Carnegie Mellon University, is being trialled in Pittsburgh, New York City and Mumbai to help enforce social distancing. Zensors' algorithms analyse


feeds from existing CCTV cameras to provide real-time data on the number of people in an area and whether safe distances are maintained between them. The company says its


platform can answer questions like: the number of people in a facility or public space; whether people are following


social distancing policies; when and where cleaning staff should clean based on the surfaces people have been using; and the number of people passing through a scene that are wearing face masks. In a blog post, Zensors said


it is providing its platform for free until 1 June to help fight the Covid-19 pandemic. It is also inviting machine learning researchers and experts to collaborate on using the platform. In the post, it was stated:


'We have an open API and can 10 IMAGING AND MACHINE VISION EUROPE JUNE/JULY 2020


enable anyone with technical knowledge or unique data sources to build novel systems and solutions. We invite machine learning collaborators to join our team of Carnegie Mellon University computer scientists in designing more robust and helpful deep learning models during this unprecedented crisis.' The company is also


interested in working with geographic information system experts who can help integrate Zensors' data into ESRI and other mapping platforms. Other companies are


employing computer vision in similar ways. Swisstraffic has modified its traffic and people monitoring system to analyse the places where it's difficult to maintain a 2m distance. It's platform uses existing cameras and infrastructure to provide video analysis. It can create a heat map of an area showing where people are getting closer than the recommended two metres. Irida Labs has done a similar


thing with its neural net, which can run on edge devices and also blurs the people in the video to make it anonymous.


@imveurope | www.imveurope.com


Infervision


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