CARDIOLOGIST Trial: Artificial Intelligence Enabled Electrocardiogram for Atrial Fibrillation Detection
Computer-assisted Atrial Fibrillation Risk Detection In Oral-anticoagulant Use, Lowering Stroke Risk, and Optimizing Guidance With an Intelligent Screening Tool (CARDIOLOGIST): a Pragmatic Randomized Controlled Trial
1 other identifier
interventional
25,732
1 country
1
Brief Summary
This is a randomized controlled trial (RCT) to test a novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based screening tool for improving the diagnosis and management of Atrial Fibrillation.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2022
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
November 1, 2021
CompletedFirst Posted
Study publicly available on registry
November 19, 2021
CompletedStudy Start
First participant enrolled
January 1, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 31, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
January 31, 2023
CompletedMarch 28, 2023
March 1, 2023
10 months
November 1, 2021
March 24, 2023
Conditions
Outcome Measures
Primary Outcomes (2)
Proportion of taking AF treatment medications
defined as use of long-term NOAC (apixaban, rivaroxaban, endoxaban, dabigatran).
Within 90 days
Proportion of ischemic Stroke
After performing an electrocardiogram, the patient's physical conditions is tracked.
Within 90 days
Secondary Outcomes (7)
Proportion of cardiologist consultation
Within 90 days
Proportion of new-onset AF diagnosis
Within 90 days
Proportion of echocardiogram performed after ECGs
Within 90 days
Proportion of new-onset heart failure
Within 90 days
Proportion of gastrointestinal bleeding
Within 90 days
- +2 more secondary outcomes
Study Arms (2)
Intervention
EXPERIMENTALPatients randomized to intervention will have access to the screening tool.
Control
NO INTERVENTIONPatients randomized to control will continue routine practice.
Interventions
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
You may qualify if:
- Patients in emergency department or inpatient department
- Patients had at least 1 ECG
- Patients cared by non-cardiologist
You may not qualify if:
- Patients without history of atrial fibrillation diagnosis.
- 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)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
National Defense Medical Center
Taipei, 114, Taiwan
Related Publications (1)
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.
PMID: 40611485DERIVED
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- SCREENING
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
November 1, 2021
First Posted
November 19, 2021
Study Start
January 1, 2022
Primary Completion
October 31, 2022
Study Completion
January 31, 2023
Last Updated
March 28, 2023
Record last verified: 2023-03
Data Sharing
- IPD Sharing
- Will not share