Prediction of patient cooperation before orthodontic treatment: Handwriting and artificial intelligence.

Journal: Journal of the World federation of orthodontists

PMID: 39232889

Abstract

BACKGROUND: The purpose of this study was to compare the success of various convolutional neural network (CNN) models trained with handwriting samples in predicting patient cooperation.

Authors

Farhad Salmanpour

Department of Orthodontics, Afyonkarahisar Health Sciences University, Afyonkarahisar, Turkey.
Hasan Camcı

Department of Orthodontics, Afyonkarahisar Health Sciences University, Afyonkarahisar, Turkey. Electronic address: dt.hasan@hotmail.com.

Keywords

Adolescent Artificial Intelligence Child Female Handwriting Humans Male Neural Networks, Computer Orthodontics, Corrective

External Resources

View on PubMed Access via DOI PubMed (39232889)

Prediction of patient cooperation before orthodontic treatment: Handwriting and artificial intelligence.

Abstract

Authors

Keywords

External Resources

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