Unique ID issued by UMIN | UMIN000057831 |
---|---|
Receipt number | R000066096 |
Scientific Title | Atrial Fibrillation Recurrence Classifier using Artificial Intelligence |
Date of disclosure of the study information | 2025/05/11 |
Last modified on | 2025/05/11 14:48:30 |
Prediction of recurrence in catheter ablation for atrial fibrillation using artificial intelligence
Prediction of recurrence in catheter ablation for atrial fibrillation using artificial intelligence
Atrial Fibrillation Recurrence Classifier using Artificial Intelligence
ARC-AI
Japan |
atrial fibrillation
Cardiology |
Others
NO
Atrial fibrillation (AF) is one of the most common arrhythmia detected in clinical practice. Moreover, this arrhythmia increases the risk of stroke, heart failure, and all-cause-mortality. Among the treatment options, including antiarrhythmic agent therapy and radiofrequency catheter ablation, ablation has become the first-line therapy owing to lower rates of recurrence.
However, recurrence rates are significantly higher in patients with long-standing AF compared to those with newly diagnosed or paroxysmal AF. Therefore, although restoration of sinus rhythm may be possible, such patients often avoid catheter ablation. As such, the a tool capable of predicting the AF recurrence following catheter ablation has become necessary in recent years. The purpose of this study is to investigate this using artificial intelligence.
Efficacy
Atrial fibrillation recurrence following catheter ablation.
By examining the rationale behind the AI's predictions of AF recurrence, we aim to investigate the underlying mechanisms of recurrence.
Observational
20 | years-old | <= |
90 | years-old | >= |
Male and Female
Patients who undergo their first catheter ablation are planned to be included
Patients who do not meet the age criteria will be excluded.
300
1st name | Tadashi |
Middle name | |
Last name | Hoshiyama |
Kumamoto University Hospital
Cardiovascular medicine
860-8556
1-1-1 honjo Kumamoto City
096-373-5175
tadashi@kumamoto-u.ac.jp
1st name | Tadashi |
Middle name | |
Last name | Hoshiyama |
Kumamoto University
Cardiovascular medicine
860-8556
1-1-1 honjo Kumamoto city
096-373-5175
tadashi@kumamoto-u.ac.jp
Kumamoto University Hospital
There is no funding source related to this investigation
Other
Kumamoto University Hospital
1-1-1 honjo Kumamoto city
096-373-5657
ski-shien@jimu.kumamoto-u.ac.jp
NO
2025 | Year | 05 | Month | 11 | Day |
Unpublished
Preinitiation
2025 | Year | 05 | Month | 30 | Day |
2025 | Year | 06 | Month | 01 | Day |
2028 | Year | 12 | Month | 31 | Day |
There is no other related information
2025 | Year | 05 | Month | 11 | Day |
2025 | Year | 05 | Month | 11 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000066096