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Verification study of AI-based prediction algorithm for the prediction of paroxysmal atrial fibrillation

Prospective validation study of artificial intelligence-based prediction algorithm for the prediction of paroxysmal atrial fibrillation

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0008004
Enrollment
650
Registered
2022-12-13
Start date
2022-10-14
Completion date
Unknown
Last updated
2023-01-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

Ewha Womans University Medical Center
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: This study is conducted with consent from patients 18 years of age or older admitting to the hospital or visiting hospital with symptoms of arrhythmia at outpatient clinic.

Exclusion criteria

Exclusion criteria: Patients with pacemakers, implanted defibrillators, or other implantable electrical devices were excluded. Pregnant woman, lactating woman were also excluded. Patients who died within 2 weeks were excluded. Patients have current symptoms or a history of skin cancer, rash, skin disease, keloid disease, or injury were excluded.

Design outcomes

Secondary

MeasureTime frame
Not appicable—

Primary

MeasureTime frame
Atrial fibrillation—

Countries

Korea, Republic of

Contacts

Public ContactYEJI KIM

Ewha Womans University Seoul Hospital

lexie6169@gmail.com+82-2-2650-5865

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026