Accuracy of machine learning-assisted prediction of the future need for orthognathic surgery in patients with cleft lip and palate

The ML algorithm used in this study may support clinical decision-making in identifying candidates for future OGS at 8 years of age.

Authors

Institutions

Publication Details

Journal
The Korean Journal of Orthodontics
Published
2025-06-17
DOI
https://doi.org/10.4041/kjod25.030
Citations
2
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
3.58
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article

Accuracy of machine learning-assisted prediction of the future need for orthognathic surgery in patients with cleft lip and palate

Seung-Weon Lim, Hong‐Gee Kim, Seung‐Hak Baek, E.-G. Kim
2 citations
The Korean Journal of Orthodontics
Dental Radiography and Imaging
3.58
article

Accuracy of machine learning-assisted prediction of the future need for orthognathic surgery in patients with cleft lip and palate

Seung-Weon Lim, Hong‐Gee Kim, Seung‐Hak Baek, E.-G. Kim
article en
2 citations

Abstract

The ML algorithm used in this study may support clinical decision-making in identifying candidates for future OGS at 8 years of age.

The Korean Journal of OrthodonticsVol. 55(5)
Korea National Open University (KR), Seoul National University (KR), Hanyang University (KR)
Openalex Percentile: Top 7%
Dental Radiography and Imaging
3.58
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