Automated Identification of Stroke Thrombolysis Contraindications from Synthetic Clinical Notes: A Proof-of-Concept Study

Our LLM-based tool may identify stroke thrombolysis contraindications from synthetic clinical notes with high sensitivity and PPV. Future studies will validate its performance using real EMR data and integrate it into acute stroke workflows to facilitate faster and safer thrombolysis decision-making.

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Publication Details

Journal
Cerebrovascular Diseases Extra
Published
2025-03-17
DOI
https://doi.org/10.1159/000545317
Citations
7
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
9.48
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article

Automated Identification of Stroke Thrombolysis Contraindications from Synthetic Clinical Notes: A Proof-of-Concept Study

Samer Albahra, Bing Yu Chen, Andrew Russman, Ken Uchino et al.
7 citations
Cerebrovascular Diseases Extra
Acute Ischemic Stroke Management
9.48
article

Automated Identification of Stroke Thrombolysis Contraindications from Synthetic Clinical Notes: A Proof-of-Concept Study

Samer Albahra, Bing Yu Chen, Andrew Russman, Ken Uchino, Sidonie Ibrikji, Fares Antaki, Muhammad Shazam Hussain, Scott Robertson, Marco González, Eric Aube
article en
7 citations

Abstract

Our LLM-based tool may identify stroke thrombolysis contraindications from synthetic clinical notes with high sensitivity and PPV. Future studies will validate its performance using real EMR data and integrate it into acute stroke workflows to facilitate faster and safer thrombolysis decision-making.

Cerebrovascular Diseases ExtraVol. 15(1)
Cleveland Clinic (US), Cleveland Eye Clinic (US)
Quality Education
Openalex Percentile: Top 2%
Acute Ischemic Stroke Management
9.48
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