aceImpact of RapidAI® Implementation on Workflow Metrics and Access to Reperfusion Therapies in Acute Ischemic Stroke: A 10-Year Retrospective Analysis
Background and Purpose: Artificial intelligence‑assisted perfusion imaging can support selection and coordination in acute ischemic stroke (AIS). This study assessed institutional changes in access to reperfusion therapies and workflow metrics before and after RapidAI® implementation. Methods: We retrospectively analyzed consecutive AIS admissions (July 2014–October 2024) at a single comprehensive stroke center, comparing pre‑implementation and post‑implementation periods (RapidAI® introduced June 2018). Primary…
After a single stroke center adopted AI perfusion imaging, adjusted analysis showed fewer rescue decompressive craniectomies and about 2.3 fewer hospital days per patient, though this is an association.
The authors note that low software utilization and possible secular trends mean the findings should be interpreted cautiously; this single-center before-and-after design shows coincidence rather than causation.
Evidence
- Peer-reviewedCerebrovascular Diseases2026-10-19
How should this claim be treated?
Truvace Impact Record TRV-2026-2017, v1: “Impact of RapidAI® Implementation on Workflow Metrics and Access to Reperfusion Therapies in Acute Ischemic Stroke: A 10-Year Retrospective Analysis.” Truvace, 2026-10-20. /record/TRV-2026-2017 (accessed at citation time). sha256 25a1f3fae7647152…
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