Evaluating Recommendations About Atrial Fibrillation for Patients and Clinicians Obtained From Chat-Based Artificial Intelligence Algorithms.
Zahra AziziPouria AlipourSofia GomezCassandra BroadwinSumaiya IslamAshish SarrajuAlbert J RogersAlexander T SandhuFatima RodriguezPublished in: Circulation. Arrhythmia and electrophysiology (2023)
Keyphrases
- artificial intelligence
- machine learning
- deep learning
- end stage renal disease
- atrial fibrillation
- big data
- ejection fraction
- chronic kidney disease
- prognostic factors
- heart failure
- palliative care
- left atrial appendage
- percutaneous coronary intervention
- clinical practice
- oral anticoagulants
- venous thromboembolism
- catheter ablation
- direct oral anticoagulants