Share:
Peer-Reviewed Publication
Neuroradiology2022;64(4):735-743.April 1, 2022Journal Article

Validation of an artificial intelligence solution for acute triage and rule-out normal of non-contrast CT head scans.

Tom Dyer1, Sanjiv Chawda2, Raed Alkilani2, Tom Naunton Morgan3, Mike Hughes3, Simon Rasalingham3
1Behold.ai, 180 Borough high St, London, SE1 1LB, UK. tomd@behold.ai.
2Department of Radiology, Barking, Havering and Redbridge University Hospitals NHS Trust, Romford, RM7 0AG, UK.
3Behold.ai, 180 Borough high St, London, SE1 1LB, UK.

Abstract

PURPOSE: Non-contrast CT head scans provide rapid and accurate diagnosis of acute head injury; however, increased utilisation of CT head scans makes it difficult to prioritise acutely unwell patients and places pressure on busy emergency departments (EDs). This study validates an AI algorithm to triage patients presenting with Intracranial Haemorrhage (ICH) or Acute Infarct whilst also identifying…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.