Automated MSCT Analysis for Planning Left Atrial Appendage Occlusion Using Artificial Intelligence.
Kilian MichielsEva HeffinckPatricio AstudilloIvan WongPeter MortierAlessandra Maria BavoPublished in: Journal of interventional cardiology (2022)
A fast and accurate AI-based workflow is proposed to automatically analyze MSCT images for planning LAAO. The approach, which can be easily extended toward other structural heart interventions, may help to handle the rapidly increasing volumes of patients.
Keyphrases
- artificial intelligence
- deep learning
- machine learning
- left atrial appendage
- big data
- end stage renal disease
- atrial fibrillation
- ejection fraction
- newly diagnosed
- chronic kidney disease
- convolutional neural network
- heart failure
- prognostic factors
- physical activity
- peritoneal dialysis
- high resolution
- optical coherence tomography