In response to the health emergency caused by Covid-19, research groups outside the medical profession have been working to offer support to the community. Some of the most interesting solutions include those proposed by the Computer Vision (CV) scientific community.  CV is a field of computational science that emerged a few decades ago, which aims to understand how a computer can see an image or a sequence of images. For example, tracking the temperature of customers, employees, and suppliers is a crucial factor in the reopening of companies and businesses. The PAVIS (Pattern Analysis & Computer Vision) group, coordinated by Alessio Del Bue, of the Italian Institute of Technology (IIT), has developed AI Thermometer. An open-source application for the automatic remote measurement of people’s body temperature using thermal chambers.

COVID-19 has pneumonia as its predominant clinical manifestation. The analysis of a patient’s chest X-ray plays a key role in the diagnostic process of this disease. In light of this aspect, the initiative of the University of Montreal to create a public dataset of chest radiographs (in detail, lung radiographs) of positive or suspected cases of COVID-19 is extremely interesting. This collection of images will then allow Artificial Intelligence (AI)-based software to be trained to automatically classify patient radiographs. This software will not attempt to replace the analysis of medical experts but will try to offer a preliminary analysis of the most suspicious cases. Remaining on the subject of AI applied to the COVID-19 problem, VRAINERS is also working to offer its support. VRAINERS aims to use technology as an improvement tool and to improve the world of training and coaching in different areas.

With VRAINERS you can create innovative digital solutions for courses and academies through the use of virtual reality and artificial intelligence. Our team consists of specialists from different areas: business, artificial intelligence, 3D graphics, programming, and psychology.

Sitography:

https://github.com/ieee8023/covid-chestxray-dataset
https://github.com/IIT-PAVIS/AI-Thermometer
https://www.coe.int/documents/40452431/0/AI-COVID_870.jpg/b6efe57a-f2ee-e8b3-8900-1945c0167ace?t=1585306592000

Author:

Cristiano Massaroni

He holds a Bachelor’s and Master’s degree in Computer Science from the La Sapienza University of Rome. In March 2020 he obtained his Ph.D. in Computer Science at the same university. He currently works as a researcher within the VisionLab team of the Department of Computer Science at La Sapienza University in Rome. In the Vrainers project, Cristiano is interested in the development of machine-human interactions through the use of Artificial Intelligence.

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