An artificial intelligence assisted framework for automated quantified root canal curvature measurement on periapical radiographs

Background/purpose

Root canal curvature is a complex anatomical variation that complicates endodontic treatments. Traditionally, dentists rely on two-dimensional periapical radiographs (PA) and manual methods to estimate curvature angles. However, this conventional approach is highly time-consuming and subjective, often leading to inconsistent measurements.

Materials and methods