Artificial Intelligence for Predicting Primary Antegrade Wiring Success of Chronic Total Occlusion Crossing

Authors

Michaella Alexandrou
Athanasios Rempakos
Deniz Mutlu
Dimitrios Strepkos
Pedro E P Carvalho
Ahmed Al Ogaili
Ali Bahbah
Anastasios Milkas
Ioannis Tsiafoutis
Khaldoon Alaswad, Henry Ford HealthFollow
Mir Babar Basir, Henry Ford HealthFollow
Rhian Davies
Farouc A Jaffer
William Nicholson
Lorenzo Azzalini
Sevket Gorgulu
Jaikirshan J Khatri
Sripal Bangalore
Bavana V Rangan
Olga C Mastrodemos
M Nicholas Burke
Yader Sandoval
Emmanouil S Brilakis

Recommended Citation

Alexandrou M, Rempakos A, Mutlu D, Strepkos D, Carvalho PEP, Al Ogaili A, Bahbah A, Milkas A, Tsiafoutis I, Alaswad K, Basir MB, Davies R, Jaffer FA, Nicholson W, Azzalini L, Gorgulu S, Khatri JJ, Bangalore S, Rangan BV, Mastrodemos OC, Burke MN, Sandoval Y, and Brilakis ES. Artificial intelligence for predicting primary antegrade wiring success of chronic total occlusion crossing. J Invasive Cardiol 2024.

Document Type

Article

Publication Date

9-30-2024

Publication Title

The Journal of invasive cardiology

PubMed ID

39356730

ePublication

ePub ahead of print