ClinicalTrials.gov
public full text
Public Domain
Artificial Intelligence Support for Stroke
This study investigates whether an AI-assisted decision support tool, compared with standard care, increases the proportion of acute ischemic stroke patients receiving intravenous thrombolysis within 24 hours of symptom onset at a primary hospital in China, while also evaluating its impact on clinical outcomes, treatment timelines, and safety.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Integrating AI in Stroke Neurorehabilitation#801383
- Extended Time Window Intravenous Thrombolysis Registry for Acute Ischemic Stroke#881441
- Trial for the Early Identification of Acute Kidney Injury#993705
- Use of Physical Therapy Outcome Measures to Predict Discharge Destination in People With Stroke From Acute Care Hospital#910215
- Clinical validatiOn of an AI-based DEcision Support System for Robotic Upper Limb Rehabilitation in Patients With Stroke. A CO-AIDER Study.#1057623
Record · ID 826186
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive