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behold.ai and Wellbeing Software collaborate on national solution for rapid COVID-19 diagnosis using AI analysis of chest X-rays

Press releases may be edited for formatting or style | April 01, 2020 Artificial Intelligence X-Ray
LONDON, UK, March 31, 2020 – Two British companies at the leading edge of medical imaging technology are working together on a plan to fast-track the diagnosis of COVID-19 in NHS hospitals using artificial intelligence analysis of chest X-rays.

behold.ai has developed the artificial intelligence-based red dot® algorithm which can identify within 30 seconds abnormalities in chest X-rays. Wellbeing Software operates Cris, the UK’s most widely used Radiology Information System (RIS), which is installed in over 700 locations.

A national roll-out combining these two technologies would enable a large number of hospitals to quickly process the significant volume of X-rays, currently being used as the key diagnostic test for triage of COVID-19 patients, thereby speeding up diagnosis and easing pressure on the NHS at this critical time. This solution will also find significant utility in dealing with the backlog of cases that continue to mount, such as suspected cancer patients.
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Simon Rasalingham, Chairman and CEO of behold.ai, said:

“behold.ai and Wellbeing are a great fit in terms of expertise and technology. We are able to prioritise abnormal chest X-rays with greater than 90% accuracy and a 30-second turnaround. If that were translated into a busy hospitals coping with COVID-19, the benefits to healthcare systems are potentially enormous.”

Chris Yeowart, Director at Wellbeing Software, said:

“Our technology provides the integration between the algorithm and the hospital’s radiology systems and working processes, addressing the technical challenges to clearing the way for accelerated national rollout. It is clear from talking to radiology departments that chest X-rays have become one of the primary diagnostic tools for COVID-19 in this country.”


About behold.ai and radiology
behold.ai provides artificial intelligence, through its red dot® cognitive computing platform, to radiology departments. This technology augments the expertise of radiologists to enable them to report with greater clinical accuracy, faster and more safely than they could before. This revolutionary combination helps to deliver greater performance in radiology reporting at a fraction of the price of outsourced reporting.

Radiology departments play an essential role in the diagnostic process; however, a consequence of fewer radiologists and a growing demand for images has left services stretched beyond capacity across many trusts, resulting in reporting delays - in some cases impacting cancer diagnosis. These service issues have been highlighted by the Care Quality Commission and the Royal College of Radiologists.

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