Accuracy of manual and artificial intelligence‐based superimposition of cone‐beam computed tomography with digital scan data, utilizing an implant planning software: A randomized clinical study

In the absence of imaging artifacts, automated AI-based registration of CBCT data and model scan data can be as accurate as conventional superimposition methods. The number and size of selected superimposition areas should be individually chosen depending on each clinical situation.