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 | Magnetic Resonance Imaging (MRI)

July 2, 2025 — Philips has received FDA 510(k) clearance for SmartSpeed Precise[1] MR’s latest deep learning ...

Time July 03, 2025
arrow
News | Ultrasound Imaging

July 1, 2025 — UPDATE: The final paper is now available at: JMIR AI - ChatGPT-4–Driven Liver Ultrasound Radiomics ...

Time July 01, 2025
arrow
News | Magnetic Resonance Imaging (MRI)

June 26, 2025 — Siemens Healthineers has received Food and Drug Administration clearance for the Magnetom Flow.Ace, its ...

Time June 26, 2025
arrow
News | Prostate Cancer

June 26, 2025 – Quibim, a global provider of quantitative medical imaging solutions, has launched AI-QUAL, a new feature ...

Time June 26, 2025
arrow
News | Bone Densitometry Systems

June 19, 2025 — Naitive Technologies has published results demonstrating the diagnostic performance of its AI-powered ...

Time June 18, 2025
arrow
News | Lung Imaging

June 18, 2025 — Exo recently announced that now included on its Exo Iris is the first ever FDA 510(k) cleared AI for ...

Time June 18, 2025
arrow
News | Digital Pathology

June 11, 2025 — Diagnostic laboratory leaders view digital pathology and artificial intelligence (AI) as pivotal to ...

Time June 12, 2025
arrow
News | Lung Imaging

June 11, 2025 — To prepare healthcare workforces and providers for an AI-driven future, Qure.ai has expanded its Global ...

Time June 11, 2025
arrow
News | Radiology Imaging

June 10, 2025 — CIVIE has announced the official launch of RadPod, an AI-driven, on-demand radiology platform designed ...

Time June 10, 2025
arrow
News | Ultrasound Imaging

June 4, 2025 — RadNet, Inc., a provider of high-quality, cost-effective diagnostic imaging services and digital health ...

Time June 09, 2025
arrow
Subscribe Now