CARDIOLOGIST Trial: Artificial Intelligence Enabled Electrocardiogram for Atrial Fibrillation Detection
NCT ID: NCT05127460
Last Updated: 2023-03-28
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
25732 participants
INTERVENTIONAL
2022-01-01
2023-01-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
SCREENING
NONE
Study Groups
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Intervention
Patients randomized to intervention will have access to the screening tool.
AI-enabled ECG-based Screening Tool
Primary care clinicians in the intervention group had access to the report, which displayed whether the AI-ECG result was positive or negative. The system will send a message to corresponding physicians if positive finding.
Control
Patients randomized to control will continue routine practice.
No interventions assigned to this group
Interventions
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AI-enabled ECG-based Screening Tool
Primary care clinicians in the intervention group had access to the report, which displayed whether the AI-ECG result was positive or negative. The system will send a message to corresponding physicians if positive finding.
Eligibility Criteria
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Inclusion Criteria
* Patients had at least 1 ECG
* Patients cared by non-cardiologist
Exclusion Criteria
* Patients without history of long-term NOAC or warfarin usage.
* Patients without history of hemorrhagic stoke or ishemic stroke.
* Patients with low eGFR (\<30 ml/min)
18 Years
ALL
No
Sponsors
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National Defense Medical Center, Taiwan
OTHER
Responsible Party
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Chin Lin
Assistant Professor
Locations
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National Defense Medical Center
Taipei, , Taiwan
Countries
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References
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Liu WT, Lin C, Lee CC, Chang CH, Fang WH, Tsai DJ, Lin WY, Hung Y, Chen KC, Lee CH, Tsai TN, Lin WS, Hung YJ, Lin SH, Tsai CS, Lin CS. Artificial Intelligence-Enabled ECGs for Atrial Fibrillation Identification and Enhanced Oral Anticoagulant Adoption: A Pragmatic Randomized Clinical Trial. J Am Heart Assoc. 2025 Jul 15;14(14):e042106. doi: 10.1161/JAHA.125.042106. Epub 2025 Jul 3.
Other Identifiers
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NDMC2021002
Identifier Type: -
Identifier Source: org_study_id
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