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Artificial Intelligence Support for Stroke

NCT07785492 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 516

Last updated 2026-08-27

No results posted yet for this study

Summary

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.

Conditions

  • Ischemic Stroke, Acute

Interventions

OTHER

AI-assisted thrombolysis decision support

The AI-assisted thrombolysis decision support tool is used by attending physicians in addition to routine stroke evaluation. After the physician enters key patient data, the system generates real-time prompts on whether the patient meets criteria for intravenous thrombolysis, recommended additional tests and risk alerts for thrombolysis. The final treatment decision remains with the treating clinician.

Sponsors & Collaborators

  • Capital Medical University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-08-26
Primary Completion
2026-12-31
Completion
2027-03-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07785492 on ClinicalTrials.gov