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Annual Session 2022

AS22B27 - Accuracy and reliability of a fully automated landmark identification system on cone beam computed tomography

May 21, 2022 2:20pm ‐ May 21, 2022 2:40pm

Credits: None available.


Medical imaging continues to play an increasing role in health care and is an integral part of medicine and dentistry. Recent technological advancements have led to the development of fully automated landmark identification (ALI) systems capable of tracing Cone-Beam Computed Tomography (CBCT). The purpose of this study was to evaluate the accuracy and reliability of an ALI system as a tool for automatic landmark location compared to human judges.

Learning Objectives:

  • To identify what landmarks are the most valid and reliable when tracing a CBCT amongst trained professionals.
  • To evaluate whether a computer can locate the landmarks as well as a human.
  • To show that there could be beneficial uses of the autonomous landmark identification systems.



Credits: None available.

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