A report from the Oxford Academic Health Science Network (Oxford AHSN) has found that hospitals with Brainomix’s e-Stroke artificial intelligence (AI) platform raised patient treatment rates by more than 55%.

The evaluation, which included 24 hospitals across England, demonstrated that treatment rates went from a national average of 3.6% to 5.7% at e-Stroke hospitals.

The platform developed by UK-based Brainomix uses AI to automatically process CT and MRI scans and alerts doctors to patients who would benefit from mechanical thrombectomy – a procedure that is effective when done soon after a stroke has occurred.

In the report, some hospitals with the AI platform reached mechanical thrombectomy rates exceeding 10%. Expanding the treatment from 1% to 10% was part of the NHS Long Term Plan for stroke care.

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.”

Brainomix’s e-Stroke also connects specialists across different hospitals by quickly processing results in less than two minutes and sending data to hospital systems and even doctors’ smartphones.

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The UK Government has been a keen supporter of Brainomix’s technology and provided funding in 2020 to help roll out the AI diagnosis software in healthcare. 

Brainomix chief medical and innovation officer and Oxford University Hospitals’ consultant stroke physician Dr George Harston commented: “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 service 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.”