Training a high accuracy model to visualize blood clots during mechanical thrombectomy for the treatment of Acute Ischemic Stroke

The proposed method enables clot visualization during stent retriever thrombectomy without altering existing clinical workflows. With further pre-clinical and clinical validation, this approach may support real-time decision-making and improve procedural outcomes.

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Publication Details

Journal
Frontiers in Stroke
Published
2025-10-17
DOI
https://doi.org/10.3389/fstro.2025.1610399
Citations
1
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
1.35

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article

Training a high accuracy model to visualize blood clots during mechanical thrombectomy for the treatment of Acute Ischemic Stroke

Varun Kashyap, Richard L. Zhu, K. L. Narasimhan
1 citations
Frontiers in Stroke
Acute Ischemic Stroke Management
1.35
article

Training a high accuracy model to visualize blood clots during mechanical thrombectomy for the treatment of Acute Ischemic Stroke

Varun Kashyap, Richard L. Zhu, K. L. Narasimhan
article en
1 citations

Abstract

The proposed method enables clot visualization during stent retriever thrombectomy without altering existing clinical workflows. With further pre-clinical and clinical validation, this approach may support real-time decision-making and improve procedural outcomes.

Frontiers in StrokeVol. 4
Princeton University (US), Medtronic (Ireland) (IE)
Grainger Foundation
Openalex Percentile: Top 15%
Acute Ischemic Stroke Management
1.35
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