Jaishree: Yeah, so it’s pattern recognition of topologies, or signs of diseases. The solutions recognize patterns in imaging to help doctors diagnose faster. Terence : What we’ve done at Envisionit Deep AI is leverage the use of machine learning and the expertise of radiologists to create RADIFY. RADIFY for Chest technology in action How does the solution work? Our AI solution can assist in delivering impactful and feasible medical solutions to countries where there are significant resource challenges. RADIFY for Mammograms assists in the diagnosis of benign and malignant breast lesions and RADIFY for ultrasound identifies the presence of a specific pathology on the image/video frame including the location of the pathology. Our RADIFY for Chest model helps with the detection of 20 different pathologies through chest x-rays and has been expanded to a standalone Tuberculosis platform, as well as a COVID-19 pneumonia platform. In just two years, Envisionit Deep AI has developed five AI products RADIFY for Chest, RADIFY for Mammograms and RADIFY for Ultrasound. By using RADIFY, doctors can diagnose more images, more consistently, in less time and at a lower cost – whilst prioritizing care for people who need it most. The vision behind RADIFY, our AI solution, is to democratize access to diagnostic healthcare in Africa. I also knew technology could be transformative so with my medical background, Andrei’s technical experience, and Terence’s business experience, we came together to develop RADIFY. Through the years and through my experience I knew I was making a difference by training more pediatric radiologists, but I realized that with just human capacity alone we cannot solve some of the challenges we face. I have 20 years’ experience working in public hospitals and have participated in outreach efforts throughout Africa. Our solution aims to assist with the disparity between the number of children under the age of 15 and pediatric doctors able to serve them. It’s now 2021 and I’m still one of only 20 pediatric radiologists on the African continent, where 600 million of the 1.2 billion population is under the age of 15. Jaishree: In 2010 I became the first South African trained pediatric radiologist. What problem is your technology solution trying to solve? Jaishree Naidoo (CEO), Terence Naidu (Head of Business Development), and Andrei Migatchev (Chief Technology Officer) to discuss their revolutionary AI solution and how it came to fruition. I sat down with Envisionit Deep AI’s three founders, Dr. Their AI solution called RADIFY can be used as a clinical decision support tool to assist doctors in the diagnosis of diseases through medical imaging analysis. The intrepid Envisionit Deep AI team was awarded one of this year’s $50,000 USD Second Runner-Up Prizes. Now in its fifth year, the competition awarded its largest prize pool ever of $1 million USD to just 20 winning teams from around the world. The Cisco Global Problem Solver Challenge is an annual competition that awards cash prizes to early-stage tech entrepreneurs solving the world’s toughest problems. Now that the Cisco Global Problem Solver Challenge 2021 winners have been officially announced, we are excited to introduce each winning team and the story behind each innovation.
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