QuEST develops AI-powered solution to accelerate Covid-19 screening

19 June 2020 (Last Updated August 21st, 2020 12:03)

Medical device company QuEST Global has developed a diagnostic solution powered by artificial intelligence (AI) to accelerate Covid-19 screening.

QuEST develops AI-powered solution to accelerate Covid-19 screening
The AI-powered solution will enable healthcare professionals to accelerate the screening of Covid-19 patients with pneumonia symptoms. Credit: Pete Linforth / Pixabay.

Medical device company QuEST Global has developed a diagnostic solution powered by artificial intelligence (AI) to accelerate Covid-19 screening.

The solution uses advanced deep learning models and will enable healthcare professionals to accelerate the screening of Covid-19 patients with pneumonia symptoms. It can sort and identify chest X-rays of patients with the coronavirus disease.

Backed by Microsoft Azure Machine Learning, the solution can be deployed on the cloud as a service.

QuEST said its medical devices engineering team developed the technology demonstrator, using chest X-rays of healthy individuals, as well as patients with symptoms of pneumonia and Covid-19.

The X-rays were used in training and building a deep neural network model that may discriminate the radiological patterns of pneumonia associated with Covid-19 and report the suspicious ones, QuEST added.

QuEST Global global head of hi-tech and digital Krish Kupathil said: “As the pandemic continues to rage, our focus has been to deliver a solution that can support the healthcare professionals effectively. Since the fight against Covid-19 is all about faster screening and immediate isolation of a 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.”

QuEST has been collaborating with various companies engaged in the medical devices industry.