Stroke treatment access improved by Brainomix AI
A recent report from the Oxford Academic Health Science Network has revealed that Oxford's Brainomix is improving stroke patients' access to treatment through its e-Stroke AI platform.
Interim findings said report on e-Stroke showed that the average treatment rate in the e-Stroke hospitals was more than 55 per cent higher than the national average having been the same at baseline.
Results were compiled from a sample size of 24 hospitals across the country who use e-Stroke to securely process CT and MRI brain scans in less than two minutes. A benefit of the system is that doctor's are able to access results on both their phones and hospital systems after the procedure.
Professor Gary Ford CBE, FMedSci, Chief Executive of the Oxford AHSN and a Consultant Stroke Physician at Oxford University Hospitals, said: “Harnessing AI imaging technology within stroke networks has the potential to transform outcomes for many more stroke patients. We have worked with Brainomix and our NHS partners to ensure widespread adoption of e-Stroke and the evaluation is providing more evidence to support further spread.”
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Brainomix’s e-Stroke imaging technology uses AI to automatically process CT and MRI scans and alert doctors in real-time about those patients who would benefit most from mechanical thrombectomy - a treatment that can reduce disability and prevent or limit long-term care needs in patients with the most severe strokes.
The independent evaluation also includes feedback from participating NHS specialist doctors. More than three-quarters felt e-Stroke helped to identify more patients for treatment and improved communication between hospitals.
e-Stroke has seen a rapid rise in both the support it receives and its implementation following Brainomix receiving the NHS AI in Health and Care Award in 2020.
Dr George Harston, Chief Medical & Innovation Officer at Brainomix and Consultant Stroke Physician at Oxford University Hospitals, said: “The NHS AI Award enabled us to deploy e-Stroke across a range of urban and rural NHS hospital networks, and to have the impact of the AI technology on stroke patient care independently evaluated by the Oxford AHSN.
''The interim results are very impressive, with e-Stroke sites achieving much higher rates of thrombectomy, ensuring access to life-changing treatment for more patients across the country. Feedback from NHS colleagues reported that the software is helping them to deliver a more efficient and effective stroke services for their patients.
''We look forward to seeing more results as they come out, building on the largest real-world and independent evaluation of a stroke AI imaging platform.”
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