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Artificial Intelligence Support for Stroke

Artificial Intelligence-Assisted Decision Support for Intravenous Thrombolysis in Acute Ischemic Stroke at Basic Hospitals in China (ASSIST)

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07785492
Enrollment
516
Registered
2026-08-25
Start date
2026-08-26
Completion date
2027-03-31
Last updated
2026-08-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ischemic Stroke, Acute

Keywords

Randomized Controlled Trial, Stroke, AI, Thrombolysis

Brief 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.

Detailed description

This single-center, randomized controlled, open-label, blinded-endpoint trial aims to evaluate whether an AI-assisted decision support tool increases the proportion of acute ischemic stroke patients (onset \<24 h) receiving intravenous thrombolysis at a primary hospital in China, and to assess its impact on clinical outcomes. Using cluster randomization at the level of attending physicians , the intervention group adds the AI tool to routine assessment, while the control group follows current guidelines and standard institutional protocols; both groups are not permitted to delay routine care for research purposes.

Interventions

OTHERAI-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

Capital Medical University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

1. Age ≥18 years. 2. Clinical diagnosis of acute ischemic stroke. 3. Onset time (last known well) \<24 hours. 4. CT or MRI examination excluding intracerebral hemorrhage. 5. Signed informed consent by the patient or a legally authorized representative

Exclusion criteria

1. Currently participating in another interventional clinical trial related to drugs or devices. 2. Pregnant women. 3. Has received intravenous thrombolysis at another hospital. 4. Has completed a definitive reperfusion therapy decision at another hospital and is transferred to this hospital solely for follow-up observation or rehabilitation.

Design outcomes

Primary

MeasureTime frame
The proportion of patients receiving intravenous thrombolysis.24 hours within last known well

Secondary

MeasureTime frameDescription
Proportion of patients with an modified Rankin Scale score (the total score ranges from 0 to 6; a higher score indicates a more severe disability) of 0-1 at 90 days90 days after stroke onset
90-Day modified Rankin Scale score (the total score ranges from 0 to 6; a higher score indicates a more severe disability)90 days after stroke onset
Early neurological improvement24 hours after admissionDefined as an improvement of at least 4 points on the National Institutes of Health Stroke Scale (NIHSS, 0-42 score, a higher score indicates a more severe condition) score within 24 hours, or a score of 0.
Time from admission to intravenous thrombolysis (DNT) in patients receiving intravenous thrombolysis24 hours within last known well

Countries

China

Contacts

CONTACTXunming Ji
jixm@ccmu.edu.cn01083198962
CONTACTChuanjie Wu
wuchuanjie@ccmu.edu.cn01083199439

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 28, 2026