AI-Assisted Workflow for Occult Atrial Fibrillation Detection After Ischemic Stroke: A Prospective Randomized Trial
AI-AFIS
1 other identifier
interventional
400
1 country
1
Brief Summary
We hypothesize that an AI-guided AF risk stratification approach, particularly when combined with intensified rhythm monitoring using wearable devices and extended ECG patches, will significantly increase AF detection rates compared with standard care. By enabling earlier identification of patients who may benefit from anticoagulation therapy, this strategy has the potential to improve clinical outcomes while minimizing unnecessary exposure to anticoagulant-related bleeding risks. Ultimately, this trial seeks to provide robust clinical evidence supporting the integration of AI-assisted ECG analysis into routine post-stroke care, advancing precision medicine and optimizing resource allocation for patients with ischemic stroke.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable atrial-fibrillation
Started Oct 2026
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 7, 2026
CompletedFirst Posted
Study publicly available on registry
April 20, 2026
CompletedStudy Start
First participant enrolled
October 1, 2026
ExpectedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2028
Study Completion
Last participant's last visit for all outcomes
December 31, 2028
April 20, 2026
April 1, 2026
2.3 years
January 7, 2026
April 16, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The difference betwee Active Group & Standard Group
The difference between the probability of a new diagnosis of atrial fibrillation or atrial flutter within six months (defined as an atrial fibrillation waveform longer than 30 seconds on a single-lead ECG or a twelve-lead ECG) in subjects identified as high-risk in the AI-assisted group and those who were actively followed up (Group A) and those who were followed up according to standard care (Group D).
400DAYS
Study Arms (2)
Actively track
EXPERIMENTALHigh-frequency electrocardiogram (ECG) monitoring was conducted, using a smartwatch with continuous photoplethysmography (PPG) and an external monopolar ECG patch for 14 days. Subjects recorded ECGs for 14 days immediately after discharge. If the smartwatch detected atrial fibrillation, it would automatically apply the ECG patch for 14 days to record the data. After recording, the data was mailed or delivered in person to the research team for analysis.
Standard Tracking Group
ACTIVE COMPARATORFollowing the standardized follow-up procedure for neurologists, each follow-up visit includes a medical history and physical examination, without further cardiac-related monitoring. However, if the patient has symptoms of arrhythmia, the physician may consult a cardiologist or perform a preliminary 12-lead electrocardiogram.
Interventions
High-frequency electrocardiogram (ECG) monitoring was conducted, using a smartwatch with continuous photoplethysmography (PPG) monitoring, supplemented by an external single-lead ECG patch for 14 days. Participants recorded ECGs for 14 days immediately after discharge. If the smartwatch detected atrial fibrillation, the patch would be automatically applied for 14 days of recording. After recording, the patch was mailed or delivered in person to the research team for analysis.
followed a standardized follow-up procedure by a neurologist. Each follow-up visit included a medical history and physical examination, without further cardiac-related monitoring. However, if the patient presented with symptoms of arrhythmia, the physician could consult a cardiologist or perform a preliminary 12-lead ECG.
Eligibility Criteria
You may qualify if:
- years or older who are acutely hospitalized due to ischemic stroke;
- A 12-lead electrocardiogram upon admission showing sinus rhythm;
You may not qualify if:
- Previous diagnosis of atrial fibrillation or flutter;
- Diagnosis of atrial fibrillation during hospitalization;
- Pre-existing cardiac implantable electronic device (IVD);
- Expected inability to attend regular outpatient follow-ups after discharge, or to undergo multiple 14-day ECG recordings;
- Requires long-term anticoagulant use for other reasons, including but not limited to chronic pulmonary embolism;
- Known contraindications to non-vitamin K antagonist oral anticoagulants due to comorbidities, including but not limited to end-stage renal disease, severe mitral stenosis due to rheumatic heart disease, or metallic heart valves;
- Unwilling to sign a participant consent form.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
National Taiwan University Hospita
Taipei, 100, Taiwan
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 7, 2026
First Posted
April 20, 2026
Study Start (Estimated)
October 1, 2026
Primary Completion (Estimated)
December 31, 2028
Study Completion (Estimated)
December 31, 2028
Last Updated
April 20, 2026
Record last verified: 2026-04