NHS England clinicians began using an intelligent imaging platform, powered by modern Large Vessel Occlusions (LVO AI) that transforms stroke cases analysis across more than 70 hospitals, making treatment decisions faster by interpreting CT scans and enabling faster transfers to specialist centers nationwide.
The rollout in acute stroke care brings evidence that AI could cut delays, raise life-saving intervention rates, and patient recovery.
According to findings in The Lancet Digital Health, the AI-based platform reshapes clinical outcomes at scale, especially as hospitals’ stroke diagnosis code practices.
AI Cuts Delays, Doubles Stroke Treatments
The Brainomix 360 Stroke platform, deployed across regional networks, analyses CT scans within minutes, helping doctors identify dangerous clots and quickly determine whether patients are candidates for thrombectomy or intravenous thrombolysis. This advancement reflects how LVO stroke AI tools are evolving to meet urgent clinical needs through more accurate AI LVO detection and faster assessments aligned with frontline nursing diagnosis for stroke procedures.
According to the study, around 15,000 patients have already benefited, with hospitals using the tool doubling thrombectomy rates from 2.3% to 4.6%. Clinicians described the change as a step toward better emergency stroke response.
The improvements were strongest in hospitals without on-site neuroradiologists, where timely interpretation is almost always challenging, contributing to fewer cases of missed stroke diagnosis through widespread adoption of AI LVO detection software.
“This landmark study confirms what we have already been seeing in daily practice: that stroke AI imaging is helping us deliver faster decision-making and better care for our patients,” said Dr David Hargroves, NHS National Clinical Director for Stroke and co-author of the study.
Hargroves added that quicker diagnoses mean “more patients can receive life- and disability-saving treatments in time,” where such gains are further supported by advances in CT automated scan interpretation and applications of AI in acute stroke management.
In a five-year analysis of more than 450,000 patients, evaluation sites using Brainomix 360 Stroke experienced a 100% increase in endovascular thrombectomy (EVT) – compared with a 63% rise at hospitals without the software.
Primary stroke centres recorded the greatest gains, including a 64-minute reduction in door-in-door-out times, a key measure of how quickly patients can be transferred for specialist intervention, but now stroke automated scanning tools can change all that.
These LVO AI improvements underline how stroke automated scanning tools and modern AI neurology diagnostics are reshaping treatment pathways through high-speed AI assisted medical diagnosis paired with next-generation radiology and AI tools.
Evidence of New National Standards
In the UK, stroke remains a leading cause of disability, with more than 80,000 cases each year. Every minute without treatment kills millions of brain cells.
The NHS decision to integrate LVO AI tools into all stroke centers in summer 2024, supported by a government push for evidence-based digital innovation.
Professor Gary Ford, Chief Executive of Health Innovation Oxford and Thames Valley, said the evaluation shows AI is “meeting a clear need and delivering impact and benefit for patients across the NHS, with Professor Ford highlighted the greatest gains mostly occurred in hospitals lacking specialist expertise, where most stroke patients first arrive.
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