AF-AID
Research type
Research Study
Full title
Atrial Fibrillation Artificial Intelligence Data study for prediction of post-surgery complications
IRAS ID
358393
Contact name
G Lip
Contact email
Sponsor organisation
Liverpool Heart and Chest Hospital
Duration of Study in the UK
1 years, 0 months, 0 days
Research summary
Atrial Fibrillation (AF) is a common abnormal heart rhythm. AF causes the heart to beat irregularly and sometimes very rapidly. About 30-50% of patients develop AF after heart surgery. These patients stay longer on the Intensive Care Unit (ICU) after surgery, are more likely to develop complications, and have a higher risk of dying.
It is important to identify which patients are most likely to develop AF. Whilst there are existing tools designed to predict the risk of suffering AF after heart surgery, they are unreliable and not used in clinical practice.The AF-AID study will develop and test a new prediction tool applying modern machine learning methods. The tool will identify which patients are most at risk of developing AF after heart surgery. The tool will be developed using anonymised, labelled datasets (including ECGs) of patients of Liverpool Heart and Chest Hospital, retrieved previously during the PARADISE study. If the tool is successful, it will provide the first generation of a clinical support tool to identify patients who may benefit from treatment.
REC name
Wales REC 6
REC reference
25/WA/0188
Date of REC Opinion
20 Jun 2025
REC opinion
Favourable Opinion