Artificial Intelligence-enable Electrocardiogram for Diagnosis and Outcome in Hyperthyroidism
NCT ID: NCT05675670
Last Updated: 2023-03-23
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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UNKNOWN
NA
35000 participants
INTERVENTIONAL
2023-03-01
2024-12-31
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 recieved at least 1 ECG examination.
* Patients without TSH test before ECG examination or patients with subclinical hyperthyroidism without anti-thyroid drug usage.
Exclusion Criteria
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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Tri-Service General Hospital
Taipei, , Taiwan
Countries
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Other Identifiers
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NDMC2022001
Identifier Type: -
Identifier Source: org_study_id
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