News | Artificial Intelligence | April 15, 2020

behold.ai gets CE Mark Approval for its AI-based chest X-ray diagnosis technology

Chest X-ray diagnosis to rule out normal exams using the Company’s technology could lead to an estimated £100m in cost savings to the NHS per year

#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2

April 15, 2020 — behold.ai has been issued with a CE Mark Class lla certification in the U..K and EU for its AI-based technology that can diagnose chest X-rays as ‘normal’. This is believed to be the world’s first such approval and has the potential to make up to £100m in cost savings for the U.K. NHS, the company estimates.

The algorithm’s high level of accuracy in identifying normal chest X-rays exams means that the red dot platform can be used to speed up the detection of those suspected with Covid-19.

behold.ai and Wellbeing Software recently announced a collaboration to fast-track the diagnosis of COVID-19 in NHS hospitals using artificial intelligence analysis of chest X-rays. A national roll-out would enable a large number of hospitals to triage suspected COVID-19 patients inside and outside of the hospital setting using chest X-rays. This is currently being used as the key diagnostic test for triage of COVID-19 patients. This solution is also useful in dealing with the backlog of radiology cases, such as suspected lung cancer patients.

The CE Mark approval, issued to the company by the British Standards Institute, relates to the full quality assurance system for behold.ai’s AI technology and to the design, development and manufacture of its red dot® platform.

“This is a great result for the company and for our team of quality leaders, AI engineers and clinicians who have worked for years to develop a system that meets the highest quality standards,” said Simon Rasalingham, chairman and CEO of behold.ai. “There is, quite rightly, a big focus on ensuring that the relatively new technology of artificial intelligence produces solutions that have a high degree of accuracy, reliability and scalability. This first in-kind regulatory approval is a key achievement for companies in this sector, the first autonomous AI algorithm to rule out normal chest X-rays.”

“Crucially, at a time when NHS radiologists are increasingly reporting images from home, our technology is fast, safe and effective both inside and outside the hospital setting. For examinations identified by our algorithm as normal, with a high degree of confidence, our results can be automatically accepted as being as accurate as an experienced consultant radiologist, and much faster,” said Thomas Naunton Morgan, M.D., chief medical officer of behold.ai.

The Company estimates that being able to ‘rule out normal’ could save the NHS over £100m per annum through a reduction in outsourcing costs.

Earlier this year, behold.ai received FDA clearance for its red dot® algorithm ‘instant triage’ system in relation to the life-threatening condition of pneumothorax (collapsed lung).

For more information: www.behold.ai.com

Related Content

RADLogics AI-Powered solution in use: chest X-ray of COVID-19 positive case with heatmap key image.

RADLogics AI-Powered solution in use: chest X-ray of COVID-19 positive case with heatmap key image.

News | Artificial Intelligence | September 23, 2020
September 23, 2020 — RADLogics
The cartilage in this MRI scan of a knee is colorized to show greater contrast between shades of gray.

The cartilage in this MRI scan of a knee is colorized to show greater contrast between shades of gray. Image courtesy of Kundu et al. (2020) PNAS

News | Artificial Intelligence | September 22, 2020
September 22, 2020 — Researchers at the University of Pitts...
New research from King's College London has found that COVID-19 may be diagnosed on the same emergency scans intended to diagnose stroke.

Canon Medical Systems

News | Cardiac Imaging | September 22, 2020
September 22, 2020 — New research from King's College London has
Of all the buzzwords one would have guessed would dominate 2020, few expected it to be “virtual”. We have been virtualizing various aspects of our lives for many years, but the circumstances of this one has moved almost all of our lives into the virtual realm.

Getty Images

Feature | Radiology Education | September 18, 2020 | By Jef Williams
Of all the buzzwords one would have guessed would dominate 2020, few expected it to be “virtual”.
The COVID-19 pandemic has impacted every facet of personal life, business operations and healthcare, including breast imaging and breast cancer care.

Getty Images

Feature | Breast Imaging | September 18, 2020 | By Susan Harvey, M.D.
The COVID-19 pandemic has impacted every facet o
As the silos of data and diagnostic imaging PACS systems are being collapsed and secured, the modular enterprise imaging platform approach is gaining significance, offering systemness and security
Feature | Coronavirus (COVID-19) | September 18, 2020 | By Anjum M. Ahmed, M.D., MBBS, MBA, MIS
COVID-19 is now everywhere, and these are the lo
Cloud and cloud-native architecture is the future for computing solutions in EI applications

Getty Images

Feature | Enterprise Imaging | September 18, 2020 | By Henri “Rik” Premo
With over five years of presence in the rapidly expanding...
Figure 1. Doppler flows in subpleural consolidation shows smoothly dilated branching arteries

Figure 1. Doppler flows in subpleural consolidation shows smoothly dilated branching arteries 

Feature | Radiology Imaging | September 17, 2020 | By Robert Bard, M.D. PC, DABR, FASLM
COVID-19 is routinely studied using...
Data from latest research presented at the ESMO Virtual Congress 2020 suggests COVID-19 pandemic halts cancer care and damages oncologists' wellbeing

Getty Images

News | Coronavirus (COVID-19) | September 17, 2020
September 17, 2020 — Delays and cancellation of cancer treatments and other safety measures undertaken to minimize th