Deep learning-based model for difficult transfemoral access prediction compared with human assessment in stroke thrombectomy.

A fully automatic model for DTFA prediction was developed and validated. The presented method improved expert assessment of difficult access prediction in stroke MT. Derived information could be used to guide decisions regarding arterial access for MT.