Reliability and accuracy of Artificial intelligence-based software for cephalometric diagnosis. A diagnostic study.

ABSTRACT:

Background

Artificial intelligence (AI) is revolutionizing cephalometric diagnosis in orthodontics, streamlining the patient assessments. This study aimed to assess the reliability, accuracy, and time consumption of artificial intelligence (AI)-based software compared to a conventional digital cephalometric analysis method on 2D lateral cephalogram.

Methods

408 lateral cephalometries were analysed using three methods: manual landmark localization, automatic localization, and semi-automatic localization with AI-based software. On each lateral cephalogram, 15 variables were selected, including skeletal, dental, and soft tissue measurements. The difference between the two AI-based software options (automatic and semi-automatic) was compared with the conventional digital techniq

SUBMITTER: Mercier JP 

PROVIDER: S-EPMC11520516 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature