[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100634467":3},{"organization":4,"armGroups":7,"interventions":20,"overallOfficials":35,"centralContacts":36,"locations":45,"responsibleParty":62,"collaborators":35,"id":64,"slug":65,"hasResults":66,"nctId":67,"briefTitle":68,"officialTitle":68,"acronym":69,"eligibilityCriteria":70,"healthyVolunteers":66,"sex":71,"minAge":72,"maxAge":35,"enrollmentInfo":73,"targetDuration":35,"studyType":76,"phases":77,"briefSummary":79,"conditions":80,"keywords":84,"overallStatus":90,"whyStopped":35,"lastUpdateSubmitDate":91,"lastUpdatePostDateStruct":92,"startDateStruct":95,"completionDateStruct":97,"leadSponsor":99,"locationsCount":100},{"fullName":5,"class":6},"National Taiwan University Hospital","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Actively track","EXPERIMENTAL","High-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.",[13],"Device: Active Follow-up Group",{"label":15,"type":16,"description":17,"interventionNames":18},"Standard Tracking Group","ACTIVE_COMPARATOR","Following 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.",[19],"Other: Standard Follow-up Group",[21,29],{"type":22,"name":23,"description":24,"armGroupLabels":25,"otherNames":26},"DEVICE","Active Follow-up Group","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.",[9],[27,28],"smartwatch","electrocardiogram",{"type":6,"name":30,"description":31,"armGroupLabels":32,"otherNames":33},"Standard Follow-up Group","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.",[15],[34],"standardized follow-up procedure",null,[37,42],{"name":38,"role":39,"phone":40,"phoneExt":35,"email":41},"Chih-Chieh Yu, MD.PhD","CONTACT","0972652038","sweetchieh@gmail.com",{"name":43,"role":39,"phone":35,"phoneExt":35,"email":44},"HSIAO-HAN HUANG","clrhuang8853@gmail.com",[46],{"facility":47,"status":35,"city":48,"state":35,"zip":49,"country":50,"countryCode":51,"cosmosGeoPoint":52,"geoPoint":57,"contacts":58},"National Taiwan University Hospita","Taipei","100","Taiwan","TW",{"type":53,"coordinates":54},"Point",[55,56],121.52639,25.05306,{"lat":56,"lon":55},[59,60],{"name":38,"role":39,"phone":40,"phoneExt":35,"email":41},{"name":61,"role":39,"phone":35,"phoneExt":35,"email":44},"HSIAO-HAN",{"type":63,"investigatorFullName":35,"investigatorTitle":35,"investigatorAffiliation":35,"oldNameTitle":35,"oldOrganization":35},"SPONSOR","100634467","ai-assisted-workflow-for-occult-atrial-fibrillation-detection-after-ischemic-stroke-a-prospective-randomized-trial-100634467",false,"NCT07540065","AI-Assisted Workflow for Occult Atrial Fibrillation Detection After Ischemic Stroke: A Prospective Randomized Trial","AI-AFIS","Inclusion Criteria:\n\n1. 18 years or older who are acutely hospitalized due to ischemic stroke;\n2. A 12-lead electrocardiogram upon admission showing sinus rhythm;\n\nExclusion Criteria:\n\n1. Previous diagnosis of atrial fibrillation or flutter;\n2. Diagnosis of atrial fibrillation during hospitalization;\n3. Pre-existing cardiac implantable electronic device (IVD);\n4. Expected inability to attend regular outpatient follow-ups after discharge, or to undergo multiple 14-day ECG recordings;\n5. Requires long-term anticoagulant use for other reasons, including but not limited to chronic pulmonary embolism;\n6. 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;\n7. Unwilling to sign a participant consent form.","ALL","18 Years",{"count":74,"type":75},400,"ESTIMATED","INTERVENTIONAL",[78],"NA","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.",[81,82,83],"Atrial Fibrillation","Stroke","Artificial Intelligence",[85,86,87,88,28,89],"stroke","atrial fibrillation","artificial intelligence","risk prediction","non-vitamin K antagonist oral anticoagulants","NOT_YET_RECRUITING","2026-04-16",{"date":93,"type":94},"2026-04-20","ACTUAL",{"date":96,"type":75},"2026-10-01",{"date":98,"type":75},"2028-12-31",{"name":5,"class":6},1]