Clinical applicability of automated cephalometric landmark identification: Part I—Patient‐related identification errors

Abstract

Artificial intelligence systems that recognize cephalometric landmarks could be applied to various patient groups. Patient-oriented errors were found in patients with cleft lip and/or palate.