Facial soft-tissue shape changes after fixed edgewise treatment with premolar extraction in individual artificial-intelligence-classified facial profile patterns.

Journal: BMC oral health

PMID: 38937790

Abstract

OBJECTIVE: To examine the patterns of pretreatment facial soft tissue shape in orthodontic cases with premolar extraction using artificial intelligence (AI) and to investigate the corresponding changes.

Authors

Chihiro Tanikawa

Graduate School of Dentistry, Osaka University, Suita, Japan.
Tzee Jen Tan

Center for Advanced Medical Engineering and Informatics, Osaka University, Suita, Osaka, Japan.
Kenji Takada

Keywords

Adolescent Artificial Intelligence Bicuspid Cephalometry Child Chin Face Female Humans Lip Male Malocclusion Malocclusion, Angle Class I Malocclusion, Angle Class II Mandible Nose Tooth Extraction Tooth Movement Techniques Young Adult

External Resources

View on PubMed Access via DOI PubMed (38937790)

Facial soft-tissue shape changes after fixed edgewise treatment with premolar extraction in individual artificial-intelligence-classified facial profile patterns.

Abstract

Authors

Keywords

External Resources

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