InHealth has announced a partnership with Qure.ai to deploy Qure.ai's AI solution to aid in the classification of chest X-rays into normal and abnormal exams.
The solution will be deployed across InHealth’s entire tele-reporting service arm to help enhance the quality and accuracy of reporting using AI.
Jonny McDaniell, director of operations reporting at InHealth, said: “We are excited to be partnering with Qure.ai to deploy qXR AI software into our tele-radiology platform to assist physicians in highlighting life-threatening abnormalities and improve reporting time for critical cases.”
Qure.ai's EU MDR CE Class IIb - certified chest X-ray solution, qXR, will help identify which cases are clear of clinically-relevant findings, enabling radiologists to read them more accurately within minutes.
With Qure’s qXR in place, InHealth is driving efficiency and quality in its reads, enabling it to better support clients in tackling chest X-ray (CXR) backlog challenges.
Together, we can advance the frontiers of healthcare and improve the lives of people across the UK
It will also help InHealth to prioritise more-clinically-urgent cases.
Speaking about the partnership, Darren Stephens, senior vice president and commercial head for UK and Europe at Qure.ai, said: “Our partnership with InHealth is a validation to our dominance in the UK radiology AI market.
“By combining our expertise in medical imaging with InHealth’s commitment to delivering high-quality diagnostic services, we can make a significant impact on patient outcomes.
“Together, we can advance the frontiers of healthcare and improve the lives of people across the UK.”
Qure.ai's chest X-ray software can detect multiple lung abnormalities in under one minute and it can accurately assess radiological findings presumptive of a host of lung diseases, including lung cancer, pneumonia, COPD, TB, and heart failure, among others.