News | Artificial Intelligence | March 23, 2020

Instant triage capability could potentially speed up diagnosis of COVID-19 individuals and ensure resources allocated properly.

Instant triage capability could potentially speed up diagnosis of COVID-19 individuals and ensure resources allocated properly.

March 23, 2020 — behold.ai announced that its artificial intelligence-based red dot algorithm quickly identifies chest X-rays from COVID-19 patients as ‘abnormal’. This instant triage could potentially speed up diagnosis of COVID-19 individuals and ensure resources are allocated properly.

“The majority of deaths from COVID-19 are owing to pneumonia in the lungs of vulnerable patients. Pneumonia is a potentially life-threatening condition caused by a number of pathogens including, directly or indirectly, COVID-19 infection. Our algorithm can detect abnormal chest X-rays including pneumonia almost instantly. Out of 28 X-rays reviewed from patients with COVID-19, we correctly identified 85% of them as ‘abnormal’ using red dot,” said Tom Naunton Morgan, M.D., MB, FRCS, FRCR, Chief Medical Officer, behold.ai. “As we evaluate further positive cases from across the world, including here in the UK, our results will be further validated.  This will increase the utility of our ‘instant triage’ and potentially help reduce the burden on healthcare systems as more and more cases of pneumonia present and require rapid diagnosis.”

 The data follows recent news that behold.ai’s algorithm has been cleared by the US Food and Drug Administration (FDA). Commercial rollout in the U.S. is planned for later this year.

“Our technology can make a big difference to patient safety, and the delivery of care and cost-savings to health services. It is available here and now to help manage the increased burden that will fall on health systems like the NHS in the coming weeks,” said Simon Rasalingham, Chairman and Chief Executive, behold.ai.

For more information: www.behold.ai


Related Content

News | Lung Imaging

Nov. 18, 2025 — Qure.ai has announced a collaboration with Microsoft. Qure.ai will onboard its end-to-end lung cancer ...

Time November 18, 2025
arrow
News | Breast Imaging

Nov. 17, 2025 — RadNet, Inc. and its wholly owned subsidiary, DeepHealth have announced results from the largest real ...

Time November 17, 2025
arrow
News | Radiology Business

Nov. 13, 2025 — Covera Health recently announced that Advanced Radiology Services (ARS) has joined its national Quality ...

Time November 17, 2025
arrow
News | Radiology Imaging

Nov. 13, 2025 — Medical imaging AI company Avicenna.AI has launched AVI, a new platform that delivers AI results ...

Time November 13, 2025
arrow
News | Radiology Business

Nov. 12, 2025 — Siemens has announced plans to deconsolidate its remaining stake in Siemens Healthineers (currently ...

Time November 13, 2025
arrow
News | Artificial Intelligence

Nov. 6 — 2025, Gradient Health and DataFirst have announced a strategic partnership designed to bridge the gap between ...

Time November 12, 2025
arrow
News | RSNA 2025

Nov. 7, 2025 — Coreline Soft will introduce its chest AI platform AVIEW 2.0 at RSNA 2025 (Nov. 30 – Dec. 4, Chicago) ...

Time November 10, 2025
arrow
News | Teleradiology

Nov. 4, 2025 — Virtual Radiologic (vRad) recently announced the successful commercialization of The vRad Platform — a ...

Time November 10, 2025
arrow
Feature | Teleradiology | Kyle Hardner

Once viewed as a solution for after-hours coverage, teleradiology is rapidly expanding into a critical part of radiology ...

Time November 06, 2025
arrow
News | RSNA 2025

Nov. 4, 2025 — Altamont Software, a provider of enterprise medical connectivity solutions, has announced the ...

Time November 05, 2025
arrow
Subscribe Now