Our AI model demonstrated excellent diagnostic performance in predicting AF in patients with ESUS, potentially enhancing patient prognosis through timely intervention and secondary prevention of ischemic stroke in ESUS cohorts.
Keyphrases
- atrial fibrillation
- artificial intelligence
- machine learning
- big data
- oral anticoagulants
- catheter ablation
- deep learning
- left atrial
- left atrial appendage
- randomized controlled trial
- direct oral anticoagulants
- case report
- heart failure
- percutaneous coronary intervention
- acute coronary syndrome
- blood pressure
- coronary artery disease
- brain injury
- subarachnoid hemorrhage
- blood brain barrier
- cerebral ischemia