New AI-Powered Diagnostic Solution Accelerates COVID-19 Screening

The solution is backed by Microsoft Azure Machine Learning, which helps accelerate the development and deployment on machine learning models in a highly secure and trusted fashion.

QuEST developed the technology demonstrator using chest X-rays of healthy individuals, patients with symptoms of pneumonia and COVID-19. These X-rays were used to train and build a deep neural network model that could discriminate the radiological patterns of pneumonia related to COVID-19 and highlight the suspicious ones, thus leading to a faster screening of the disease.

“As the pandemic continues to rage, our focus has been to deliver a solution that can support the healthcare professionals effectively,” said Krish Kupathil, Global Head, Hi-Tech and Digital, QuEST Global. “Since the fight against COVID-19 is all about faster screening and immediate isolation of maximum number of people, we aim to accelerate the screening time as much as possible. The AI-based solution will make radiography examinations much faster by leveraging modern image diagnostic systems. As we continue to add more features, we aim to reduce the screening time to less than a minute.”

“In these unprecedented times, saving human lives is the ultimate goal, and technology can help. Microsoft's collaborations with product engineering leaders like QuEST can go a long way to driving a more positive outcome,” said Michael Kuptz, General Manager, Americas IoT & Mixed Reality Sales, Microsoft. “For example, QuEST's AI-driven diagnostic solution, built on Microsoft Azure, empowers healthcare personnel in the fight against COVID-19 by reducing screening time, thereby enabling more testing capacity.”

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