AI Speeds Up Stroke Diagnosis, Improves Patient Outcomes
A national rollout of the Brainomix 360 imaging platform is delivering measurable gains in stroke care across England. Using automated analysis of CT scans, the AI system flags large vessel occlusions and quantifies brain tissue at risk, enabling clinical teams to act faster and more confidently.
Faster Treatment: AI’s Measurable Impact
Since deployment across 129 NHS hospitals, Brainomix 360 has directly benefited about 15,000 patients. Average time from scan to definitive treatment fell by 64 minutes, and patients reached thrombectomy procedures roughly an hour sooner. Thrombectomy rates increased from 2.3% to 4.6%, effectively doubling access to this life-saving intervention where it is indicated.
Brainomix 360: The Technology Driving Change
The platform processes non-contrast CT and CT perfusion data in near real time, producing automated maps of infarct core and penumbra and highlighting candidates for thrombectomy. Results are pushed to on-call stroke teams and radiologists through alerts and visual reports, reducing the reliance on local specialist availability and shortening decision times in emergency settings.
Real-World Benefits and Future Integration
The clinical impact includes faster reperfusion, reduced disability for many patients, and more efficient use of stroke networks. Patient accounts underline the human benefit: those who received quicker interventions reported markedly better recoveries. NHS leaders cite the programme as an example of practical AI adoption that moves beyond pilot studies to system-wide clinical benefit.
For clinicians and investors tracking health AI, Brainomix 360 demonstrates how automated imaging interpretation can be integrated at scale to improve emergency diagnostics, expand access to specialist treatments, and deliver quantifiable improvements in outcomes.
