Thiruvananthapuram: In what might aid
healthcare professionals in quick screening of Covid-19 patients, a global
product engineering and lifecycle services company has developed a robust AI-powered
diagnostic solution that can sort and identify chest X-rays of infected persons.
With an accuracy of over 95%, the
solution developed by ‘QuEST Global’ can be deployed on the cloud as a service,
making it easily accessible on edge for healthcare professionals and end-users.
The solution is backed by Microsoft Azure Machine Learning, which helps
accelerate the development and deployment of machine learning models in a
highly secure and trusted fashion.
The Medical Devices engineering team
at QuEST developed this 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
“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,” Krish Kupathil, Global Head, Hi-Tech and Digital,
“The solution can be used to reduce screen time and enable more testing capacity. However, we’re not directly dealing with health institutions and only provides the technology to our clients who can further fine-tune them as per their individual requirement,” Anto T Ouseph, Corporate Communications Assistant Manager, told the Medical Tourism Magazine.