What question did this study set out to answer?

The aim is to create an AI-assisted system for enhancing the classification of malocclusions using 3D scans.

April 23, 2026The Korean Journal of Orthodontics0 citationsOpen Access

Development of Leading Enhancement Assistive Planning: A three-dimensional tooth classification system for orthodontic treatment with clear aligners

HLHeeJeong Jasmine LeeSungkyunkwan University RHReuben Axel Wee Ming HowServices Australia KGKok Beng GanNational Institutes of Biotechnology Malaysia

Key Points

The aim is to create an AI-assisted system for enhancing the classification of malocclusions using 3D scans.
Developed the LEAP system for classifying malocclusions using 3D dental scans
Integrated LEAP into orthodontic CAD software for real-time support
Assessed workflow efficiency and diagnostic accuracy through application in practice
LEAP system improves diagnostic accuracy and reduces variability in classifications
Offers standardized, real-time diagnostic support for orthodontic practitioners
Enhances workflow efficiency in orthodontic treatments

Abstract

LEAP is an accurate, efficient, and scalable artificial intelligence-assisted system for classifying malocclusions using 3D dental scans. Its integration into orthodontic CAD software offers standardized, real-time diagnostic support, potentially improving workflow efficiency and consistency. The LEAP system may enhance diagnostic accuracy, reduce variability, and serve as a valuable decision-support tool in orthodontic practice.

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