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Predicting Successful Chronic Total Occlusion Crossing With Primary Antegrade Wiring Using Machine Learning: The PROGRESS CTO Registry

Predicting Successful Chronic Total Occlusion Crossing With Primary Antegrade Wiring Using Machine Learning: The PROGRESS CTO Registry

The PROGRESS CTO registry demonstrated that a machine learning model has been developed to predict the success of primary antegrade wiring in CTO-PCI, Dr. Athanasios Rempakos and colleagues, Abbott Northwestern Hospital, USA, reported in the July 22 issue of JACC: Cardiovascular Interventions. 

There is limited data on predicting successful chronic total occlusion (CTO) crossing using primary...
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