Machine Learning to Predict Penumbra Core Mismatch in Acute Ischemic Stroke Using Clinical Note Data

Machine learning to predict penumbra core mismatch in acute ischemic stroke using clinical note data

In acute ischemic stroke due to large-vessel occlusion (AIS-LVO), late-window endovascular thrombectomy (EVT) decisions depend on penumbra-to-core (P:C) mismatch from computed tomographic perfusion (CTP). We developed multiple machine learning (ML) models to predict P:C ratios from a retrospectively-identified cohort of AIS-LVO patients who underwent CTP within 30 min of initial neuroimaging, using non-imaging electronic health record (EHR) data…

Penumbra Introduces Ruby XL System for Vascular Embolization

Penumbra's Ruby XL System for vascular embolization has received FDA clearance.

Penumbra’s Ruby XL System Cleared by FDA for Peripheral Embolization - Endovascular Today

June 5, 2025—Penumbra, Inc. announced the FDA clearance and launch of the Ruby XL system, part of the company’s Ruby portfolio of peripheral embolization products. According to Penumbra, the Ruby XL, which features a long, large, and soft coil, is designed to help physicians achieve more efficient vascular embolization, potentially reducing radiation exposure and optimizing outcomes, especially in large-vessel and high-flow embolization. Penumbr…