UK Stroke Forum 2025 | How is artificial intelligence helping to speed up the diagnosis and treatment of stroke in England?
David Hargroves, MB, BSc (Hons), MSc, FRCP, East Kent Hospitals NHS Trust, Kent, UK, discusses the role of artificial intelligence (AI) in expediting the diagnosis and treatment of patients with stroke, highlighting the use of various AI platforms as part of the National Optimal Stroke Imaging Pathway (NOSIP) initiative in England. Dr Hargroves notes that implementing AI tools for the analysis of imaging scans can lead to an improvement in access to intravenous thrombolysis and mechanical thrombectomy, with a reduction in door-to-intervention times. This interview took place at the UK Stroke Forum (UKSF) 2025 Conference in Aberdeen, UK.
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Transcript
Within England, we’ve been pioneering the use of a National Optimal Stroke Imaging Pathway, NOSIP, for the last four years. Within that, we ask colleagues to ensure that when they undertake a CT scan, they undertake all domains required for the patient. So that’s usually a CT and a CTA, and for those patients that are not amenable to IV lysis within four and a half hours or have a relative contraindication, we’re asking them to undertake a CTP at the same time, at the same sitting...
Within England, we’ve been pioneering the use of a National Optimal Stroke Imaging Pathway, NOSIP, for the last four years. Within that, we ask colleagues to ensure that when they undertake a CT scan, they undertake all domains required for the patient. So that’s usually a CT and a CTA, and for those patients that are not amenable to IV lysis within four and a half hours or have a relative contraindication, we’re asking them to undertake a CTP at the same time, at the same sitting. We know that artificial intelligence can act as a decision support tool for CT scan reading, both plain CT, CTA, and CTP, and that improves the speed at which clinicians can make decisions regarding the use of IV lysis or referral for mechanical thrombectomy. We’ve seen numerous products being used in England – RapidAI, Brainomics, and Viz – and when we look at the analysis of some of those software platforms, we see an improvement in access to both IV lysis and mechanical thrombectomy with a reduction in door-to-intervention times in those units using AI intelligence.
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