Konrad Pieszko
0000-0002-5514-7750
Cedars-Sinai Medical Center
8 papers found
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Artificial intelligence in detecting left atrial appendage thrombus by transthoracic echocardiography and clinical features: the Left Atrial Thrombus on Transoesophageal Echocardiography (LATTEE) registry
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging
Assessing Performance of Machine Learning
Predicting Long-Term Mortality after Acute Coronary Syndrome Using Machine Learning Techniques and Hematological Markers
Machine-learned models using hematological inflammation markers in the prediction of short-term acute coronary syndrome outcomes
Predictors of atrial fibrillation early recurrence following cryoballoon ablation of pulmonary veins using statistical assessment and machine learning algorithms
The Role of Hematological Indices in Patients with Acute Coronary Syndrome
Acute embolisation of Watchman plug onto aortic bioprosthesis followed by successful percutaneous removal
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