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 | Women's Health

July 1, 2026 — Despite declining birth rates worldwide, the complexity of pregnancy is increasing. Advanced maternal age ...

Time July 01, 2026
arrow
News | Information Technology

June 26, 2026 — Radin Health recently announced the successful deployment of its cloud-native platform at four ...

Time June 26, 2026
arrow
News | FDA

June 25, 2026 — Aidoc recently announced that the U.S. Food and Drug Administration (FDA) granted Breakthrough Device ...

Time June 25, 2026
arrow
News | Mammography

June 23, 2026 — Using artificial intelligence (AI), researchers found that image-based risk scores for breast cancer ...

Time June 24, 2026
arrow
News | Pediatric Imaging

June 16, 2026 — Crescom has officially launched a global clinical Proof of Concept (PoC) of its pediatric ...

Time June 24, 2026
arrow
News | Information Technology

June 24, 2026 — HOPPR Presto Agent (Presto) is now commercially available from HOPPR. Presto iis a tool that ntegrates ...

Time June 24, 2026
arrow
News | Digital Pathology

June 17, 2026 — Proscia has introduced the Fifth Generation of its Concentriq1 platform, helping pathologists focus on ...

Time June 22, 2026
arrow
News | Digital Pathology

June 15, 2026 — Leica Biosystems is expanding the availability of its Aperio GT Elite digital scanner into the EMEA ...

Time June 15, 2026
arrow
News | Information Technology

June 9, 2026 — Mosaic Clinical Technologies, a wholly owned subsidiary of Radiology Partners, has launched Mosaic ...

Time June 15, 2026
arrow
News | Imaging Software Development

June 10, 2026 — DeepHealth, Inc., a wholly owned subsidiary of RadNet, has launched Reporting Pro, an AI-powered ...

Time June 12, 2026
arrow
Subscribe Now