Catheter ablation (CA) is the first-line treatment for atrial fibrillation (AF)
patients. However, the risk of recurrence associated with CA treatment should not
be ignored. Therefore, the preoperative identification of patients at risk of
recurrence is essential for identifying patients who will benefit from
non-invasive surgery. Echocardiography, computed tomography (CT), and magnetic
resonance imaging (MRI) are essential for the preoperative non-invasive
prediction of AF recurrence after CA. Compared to laboratory examinations and
other examination methods, these modalities can identify structural changes in
the heart and assess functional variations. Accordingly, in past studies,
morphological features, quantitative parameters, and imaging information of the
heart, as assessed by echocardiography, CT, and MRI, have been used to predict AF
recurrence after CA noninvasively. This review summarizes and discusses the
current research on echocardiography, CT, MRI, and machine learning for
predicting AF recurrence following CA. Recommendations for future research are
also presented.