Cite
Artificial intelligence for predicting primary antegrade wiring success of chronic total occlusion crossing.
MLA
Alexandrou, Michaella, et al. “Artificial Intelligence for Predicting Primary Antegrade Wiring Success of Chronic Total Occlusion Crossing.” The Journal of Invasive Cardiology, Sept. 2024. EBSCOhost, https://doi.org/10.25270/jic/24.00217.
APA
Alexandrou, M., Rempakos, A., Mutlu, D., Strepkos, D., Carvalho, P. E. P., Al Ogaili, A., Bahbah, A., Milkas, A., Tsiafoutis, I., Alaswad, K., Basir, M. B., Davies, R., Jaffer, F. A., Nicholson, W., Azzalini, L., Gorgulu, S., Khatri, J. J., Bangalore, S., Rangan, B. V., … Brilakis, E. S. (2024). Artificial intelligence for predicting primary antegrade wiring success of chronic total occlusion crossing. The Journal of Invasive Cardiology. https://doi.org/10.25270/jic/24.00217
Chicago
Alexandrou, Michaella, Athanasios Rempakos, Deniz Mutlu, Dimitrios Strepkos, Pedro E P Carvalho, Ahmed Al Ogaili, Ali Bahbah, et al. 2024. “Artificial Intelligence for Predicting Primary Antegrade Wiring Success of Chronic Total Occlusion Crossing.” The Journal of Invasive Cardiology, September. doi:10.25270/jic/24.00217.