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Malocclusion, Angle Class I

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Accuracy of artificial intelligence-assisted growth prediction in skeletal Class I preadolescent patients using serial lateral cephalograms for a 2-year growth interval.

Orthodontics & craniofacial research 38321788
OBJECTIVE: To investigate the accuracy of artificial intelligence-assisted growth prediction using a convolutional neural network (CNN) algorithm and longitudinal lateral cephalograms (Lat-cephs).
Algorithms Anatomic Landmarks Artificial Intelligence Cephalometry Child Female Forecasting Humans Male Malocclusion, Angle Class I Mandible Maxillofacial Development Neural Networks, Computer
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Facial soft-tissue shape changes after fixed edgewise treatment with premolar extraction in individual artificial-intelligence-classified facial profile patterns.

BMC oral health 38937790
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.
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
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Machine learning models for improving the diagnosing efficiency of skeletal class I and III in German orthodontic patients.

Scientific reports 40223150
The precise and efficient diagnosis of an individual's skeletal class is necessary in orthodontics to ensure correct and stable treatment planning. However, it is difficult to efficiently determine the true skeletal class due to several correlations ...
Adolescent Adult Cephalometry Child Cross-Sectional Studies Female Germany Humans Machine Learning Male Malocclusion, Angle Class I Malocclusion, Angle Class III Principal Component Analysis Prospective Studies Young Adult
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Hierarchical clustering analysis & machine learning models for diagnosing skeletal classes I and II in German patients.

BMC oral health 40375317
BACKGROUND: Classification is one of the most common tasks in artificial intelligence (AI) driven fields in dentistry and orthodontics. The AI abilities can significantly improve the orthodontist's critical mission to diagnose and treat patients prec...
Adolescent Adult Cephalometry Cluster Analysis Discriminant Analysis Female Germany Humans Machine Learning Male Malocclusion, Angle Class I Malocclusion, Angle Class II Reproducibility of Results Sensitivity and Specificity Support Vector Machine Young Adult
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