Because of AI, stroke patients in England were 57% more likely to get a thrombectomy and reached specialist centres 64 minutes faster.

Across ~453,000 stroke admissions at 107 English hospitals over five years, patients whose imaging was reviewed with Brainomix 360 had higher thrombectomy odds (OR 1.57), median door-in-door-out of 128 vs 192 minutes, and a good outcome (mRS 0–2) at discharge of 47.1% vs 45.6% (OR 1.16).

Observational, not randomized; long-term outcomes couldn't be evaluated and reasons for non-use of the AI in some cases weren't captured.

Compared with

Patients reviewed with AI software vs without, adjusted for age, severity, premorbid disability, timing

Effect

OR 1.57 for thrombectomy; OR 1.16 for good outcome (Good outcome 47.1% vs 45.6% (15 more per 1,000); DIDO 64 min shorter)

Reach

107 hospitals, England; patient-level data on 71,017 ischemic strokes

Domain

Medicine · Classic ML

Conflicts

verify: Brainomix involvement in authorship or funding.

Sources

• primaryLancet Digital Health: AI imaging decision support for acute stroke in England (thelancet.com)

Editor's notes

verify: exact observation period and publication date; window grade assumes the 5-year data period ended before Oct 2025.

Related

• Because of AI-assisted decision support, 10 fewer stroke patients per 1,000 had another stroke, heart attack, or vascular death within three months.

History

• Oct 22, 2026Added.

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