2019
DOI: 10.1038/s41598-018-38439-w
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Orthodontic Treatment Planning based on Artificial Neural Networks

Abstract: In this study, multilayer perceptron artificial neural networks are used to predict orthodontic treatment plans, including the determination of extraction-nonextraction, extraction patterns, and anchorage patterns. The neural network can output the feasibilities of several applicable treatment plans, offering orthodontists flexibility in making decisions. The neural network models show an accuracy of 94.0% for extraction-nonextraction prediction, with an area under the curve (AUC) of 0.982, a sensitivity of 94… Show more

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Cited by 96 publications
(121 citation statements)
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“…Most of the previous AI research related to the diagnosis of orthodontics was conducted by considering the landmark points and calculating the measurement values [23,24]. This method is not only influenced by the measurement value that is entered, but also has the disadvantage of introducing many errors in the process of considering the landmark points.…”
Section: Discussionmentioning
confidence: 99%
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“…Most of the previous AI research related to the diagnosis of orthodontics was conducted by considering the landmark points and calculating the measurement values [23,24]. This method is not only influenced by the measurement value that is entered, but also has the disadvantage of introducing many errors in the process of considering the landmark points.…”
Section: Discussionmentioning
confidence: 99%
“…Most of the artificial intelligence research in the field of orthodontics is still limited to ANNs. AI models have been applied to the determination of extraction or not, extraction patterns, and anchorage patterns [23,24]. The image feature analysis and classification technique using DCNNs has had an enormous impact on the entire medical field, and the same is true in the field of orthodontics and oral surgery.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…[27] is has led to the development of several decision support systems that reduce the subjectivity of making decisions. Artificial neural networks (ANNs) [28][29][30] have been used to develop such systems, and they were shown to be successful at predicting the extraction decision 80% [28] of the time in one study and 93% [29,30] of the time in two other studies. Prediction of the detailed extraction patterns (i.e., which teeth needed to be extracted) was also shown to be possible 84% [29] of the time in one study and 83% [30] of the time in another study.…”
Section: For Diagnosis and Orthodontic Treatment Planningmentioning
confidence: 99%
“…Recently, a paper used ANN to identify anchorage requirements in cases that were determined by the system to need extractions and it was accurate 83% of the time. [30] X-ray analysis, an integral part of diagnosis and treatment planning, has also benefited from ML. One of the most important applications of ML in orthodontics was the automation of landmark detections.…”
Section: For Diagnosis and Orthodontic Treatment Planningmentioning
confidence: 99%