| Unique ID issued by UMIN | UMIN000061039 |
|---|---|
| Receipt number | R000069564 |
| Scientific Title | Clinical implications of the framework for early detection of atrial fibrillation and initiation of anti-coagulation therapy using the risk alert system derived from electrocardiogram analyzed with artificial intelligence (CVI ARO 19) |
| Date of disclosure of the study information | 2026/04/01 |
| Last modified on | 2026/03/24 16:50:36 |
Clinical implications of the framework for early detection of atrial fibrillation and initiation of anti-coagulation therapy using the risk alert system derived from electrocardiogram analyzed with artificial intelligence (CVI ARO 19)
Clinical implications of the framework for early detection of atrial fibrillation and initiation of anti-coagulation therapy using the risk alert system derived from electrocardiogram analyzed with artificial intelligence (CVI ARO 19)
Clinical implications of the framework for early detection of atrial fibrillation and initiation of anti-coagulation therapy using the risk alert system derived from electrocardiogram analyzed with artificial intelligence (CVI ARO 19)
Clinical implications of the framework for early detection of atrial fibrillation and initiation of anti-coagulation therapy using the risk alert system derived from electrocardiogram analyzed with artificial intelligence (CVI ARO 19)
| Japan |
Patients visiting a cardiovascular specialty hospital
| Cardiology |
Others
NO
To evaluate the availability of real-time risk alert for atrial fibrillation using AI-enhanced ECG by comparing the rate of screening test, detection rate of atria fibrillation, rate of prescription of DOAC, and prognosis before and after implementation of the risk alert system.
Others
Changes in care before and after implementation of the alert system.
Number of 12-lead ECG, Holter ECG, and long-term Holter ECG and detection rate of atrial fibrillation in our hospital.
Observational
| 18 | years-old | <= |
| Not applicable |
Male and Female
All the ambulant patients in our hospital who underwent ECG who consented to participate in the study
Patients who do not consent to participate in the study
5000
| 1st name | Shinya |
| Middle name | |
| Last name | Suzuki |
The Cardiovascular Institute
Department of Cardiovascular Medicine
106-0031
3-2-19 Nishi-Azabu, Minato-ku, Tokyo, Japan
03-3408-2151
s-suzuki@cvi.or.jp
| 1st name | Shinya |
| Middle name | |
| Last name | Suzuki |
The Cardiovascular Institute
Department of Cardiovascular Medicine
106-0031
3-2-19 Nishi-Azabu, Minato-ku, Tokyo, Japan
03-3408-2151
s-suzuki@cvi.or.jp
The Cardiovascular Institute
None
Self funding
Nihon Kohden Corporation
The Cardiovascular Institute
3-2-19 Nishi-Azabu, Minato-ku, Tokyo, Japan
03-3408-2151
matsuda@cvi.or.jp
NO
| 2026 | Year | 04 | Month | 01 | Day |
Unpublished
Open public recruiting
| 2023 | Year | 01 | Month | 12 | Day |
| 2023 | Year | 03 | Month | 28 | Day |
| 2023 | Year | 04 | Month | 01 | Day |
| 2028 | Year | 03 | Month | 31 | Day |
The association of diagnostic probability of atrial fibrillation using AI-enhanced ECG and diagnostic rate of atrial fibrillation
| 2026 | Year | 03 | Month | 24 | Day |
| 2026 | Year | 03 | Month | 24 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000069564