Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methods.

Journal: The Angle orthodontist

PMID: 39230022

Abstract

OBJECTIVES: To evaluate an artificial intelligence (AI) model in predicting soft tissue and alveolar bone changes following orthodontic treatment and compare the predictive performance of the AI model with conventional prediction models.

Authors

Sung Joo Cho
Jun-Ho Moon
Dong-Yub Ko

Artificial Intelligence Research Center, Digital Dental Hub Incorporation, Seoul, Korea.
Ju-Myung Lee

Seoul National University, Seoul, Korea.
Ji-Ae Park

Division of Applied RI, Korea Institute of Radiological & Medical Science, Seoul, South Korea.
Richard E Donatelli
Shin-Jae Lee

Keywords

Adolescent Adult Alveolar Process Anatomic Landmarks Artificial Intelligence Cephalometry Female Humans Least-Squares Analysis Linear Models Male Neural Networks, Computer Orthodontics, Corrective Treatment Outcome Young Adult

External Resources

View on PubMed Access via DOI PubMed (39230022)

Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methods.

Abstract

Authors

Keywords

External Resources

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