A Fully Integrated Orthodontic Aligner With Force Sensing Ability for Machine Learning‐Assisted Diagnosis

Abstract Currently, the diagnosis of malocclusion is a highly demanding process involving complicated examinations of the dental occlusion, which increases the demand for innovative tools for occlusal data monitoring. Nevertheless, continuous wireless monitoring within the oral cavity is challenging...

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Main Authors: Hao Feng, Wenhao Song, Ruyi Li, Linxin Yang, Xiaoxuan Chen, Jiajun Guo, Xuan Liao, Lei Ni, Zhou Zhu, Junyu Chen, Xibo Pei, Yijun Li, Jian Wang
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Advanced Science
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Online Access:https://doi.org/10.1002/advs.202411187
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author Hao Feng
Wenhao Song
Ruyi Li
Linxin Yang
Xiaoxuan Chen
Jiajun Guo
Xuan Liao
Lei Ni
Zhou Zhu
Junyu Chen
Xibo Pei
Yijun Li
Jian Wang
author_facet Hao Feng
Wenhao Song
Ruyi Li
Linxin Yang
Xiaoxuan Chen
Jiajun Guo
Xuan Liao
Lei Ni
Zhou Zhu
Junyu Chen
Xibo Pei
Yijun Li
Jian Wang
author_sort Hao Feng
collection DOAJ
description Abstract Currently, the diagnosis of malocclusion is a highly demanding process involving complicated examinations of the dental occlusion, which increases the demand for innovative tools for occlusal data monitoring. Nevertheless, continuous wireless monitoring within the oral cavity is challenging due to limitations in sampling and device size. In this study, by embedding high‐performance piezoelectric sensors into the occlusal surfaces using flexible printed circuits, a fully integrated, flexible, and self‐contained transparent aligner is developed. This aligner exhibits excellent sensitivity for occlusal force detection, with a broad detection threshold and continuous pressure monitoring ability at eight distinct sites. Integrated with machine learning algorithm, this fully integrated aligner can also identify and track adverse oral habits that can cause/exacerbate malocclusion, such as lip biting, thumb sucking, and teeth grinding. This system achieved 95% accuracy in determining malocclusion types by analyzing occlusal data from over 1400 malocclusion models. This fully‐integrated sensing system, with wireless monitoring and machine learning processing, marks a significant advancement in the development of intraoral wearable sensors. Moreover, it can also facilitate remote orthodontic monitoring and evaluation, offering a new avenue for effective orthodontic care.
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spelling doaj-art-ea036293c4a54caf9b7b35593bf178b02025-01-13T15:29:43ZengWileyAdvanced Science2198-38442025-01-01122n/an/a10.1002/advs.202411187A Fully Integrated Orthodontic Aligner With Force Sensing Ability for Machine Learning‐Assisted DiagnosisHao Feng0Wenhao Song1Ruyi Li2Linxin Yang3Xiaoxuan Chen4Jiajun Guo5Xuan Liao6Lei Ni7Zhou Zhu8Junyu Chen9Xibo Pei10Yijun Li11Jian Wang12State Key Laboratory of Oral Diseases National Clinical Research Center for Oral Diseases Department of Prosthodontics West China Hospital of Stomatology State Key Laboratory of Polymer Materials Engineering Polymer Research Institute Sichuan University Chengdu 610041 ChinaState Key Laboratory of Oral Diseases National Clinical Research Center for Oral Diseases Department of Prosthodontics West China Hospital of Stomatology State Key Laboratory of Polymer Materials Engineering Polymer Research Institute Sichuan University Chengdu 610041 ChinaState Key Laboratory of Oral Diseases National Clinical Research Center for Oral Diseases Department of Prosthodontics West China Hospital of Stomatology State Key Laboratory of Polymer Materials Engineering Polymer Research Institute Sichuan University Chengdu 610041 ChinaState Key Laboratory of Oral Diseases National Clinical Research Center for Oral Diseases Department of Prosthodontics West China Hospital of Stomatology State Key Laboratory of Polymer Materials Engineering Polymer Research Institute Sichuan University Chengdu 610041 ChinaState Key Laboratory of Oral Diseases National Clinical Research Center for Oral Diseases Department of Prosthodontics West China Hospital of Stomatology State Key Laboratory of Polymer Materials Engineering Polymer Research Institute Sichuan University Chengdu 610041 ChinaState Key Laboratory of Oral Diseases National Clinical Research Center for Oral Diseases Department of Prosthodontics West China Hospital of Stomatology State Key Laboratory of Polymer Materials Engineering Polymer Research Institute Sichuan University Chengdu 610041 ChinaKey Laboratory of Testing Technology for Manufacturing Process of Ministry of Education Southwest University of Science and Technology Mianyang 621010 ChinaKey Laboratory of Testing Technology for Manufacturing Process of Ministry of Education Southwest University of Science and Technology Mianyang 621010 ChinaState Key Laboratory of Oral Diseases National Clinical Research Center for Oral Diseases Department of Prosthodontics West China Hospital of Stomatology State Key Laboratory of Polymer Materials Engineering Polymer Research Institute Sichuan University Chengdu 610041 ChinaState Key Laboratory of Oral Diseases National Clinical Research Center for Oral Diseases Department of Prosthodontics West China Hospital of Stomatology State Key Laboratory of Polymer Materials Engineering Polymer Research Institute Sichuan University Chengdu 610041 ChinaState Key Laboratory of Oral Diseases National Clinical Research Center for Oral Diseases Department of Prosthodontics West China Hospital of Stomatology State Key Laboratory of Polymer Materials Engineering Polymer Research Institute Sichuan University Chengdu 610041 ChinaState Key Laboratory of Oral Diseases National Clinical Research Center for Oral Diseases Department of Prosthodontics West China Hospital of Stomatology State Key Laboratory of Polymer Materials Engineering Polymer Research Institute Sichuan University Chengdu 610041 ChinaState Key Laboratory of Oral Diseases National Clinical Research Center for Oral Diseases Department of Prosthodontics West China Hospital of Stomatology State Key Laboratory of Polymer Materials Engineering Polymer Research Institute Sichuan University Chengdu 610041 ChinaAbstract Currently, the diagnosis of malocclusion is a highly demanding process involving complicated examinations of the dental occlusion, which increases the demand for innovative tools for occlusal data monitoring. Nevertheless, continuous wireless monitoring within the oral cavity is challenging due to limitations in sampling and device size. In this study, by embedding high‐performance piezoelectric sensors into the occlusal surfaces using flexible printed circuits, a fully integrated, flexible, and self‐contained transparent aligner is developed. This aligner exhibits excellent sensitivity for occlusal force detection, with a broad detection threshold and continuous pressure monitoring ability at eight distinct sites. Integrated with machine learning algorithm, this fully integrated aligner can also identify and track adverse oral habits that can cause/exacerbate malocclusion, such as lip biting, thumb sucking, and teeth grinding. This system achieved 95% accuracy in determining malocclusion types by analyzing occlusal data from over 1400 malocclusion models. This fully‐integrated sensing system, with wireless monitoring and machine learning processing, marks a significant advancement in the development of intraoral wearable sensors. Moreover, it can also facilitate remote orthodontic monitoring and evaluation, offering a new avenue for effective orthodontic care.https://doi.org/10.1002/advs.202411187electrospinningforce sensingmalocclusion diagnosispiezoelectric nanogeneratorwearable devices
spellingShingle Hao Feng
Wenhao Song
Ruyi Li
Linxin Yang
Xiaoxuan Chen
Jiajun Guo
Xuan Liao
Lei Ni
Zhou Zhu
Junyu Chen
Xibo Pei
Yijun Li
Jian Wang
A Fully Integrated Orthodontic Aligner With Force Sensing Ability for Machine Learning‐Assisted Diagnosis
Advanced Science
electrospinning
force sensing
malocclusion diagnosis
piezoelectric nanogenerator
wearable devices
title A Fully Integrated Orthodontic Aligner With Force Sensing Ability for Machine Learning‐Assisted Diagnosis
title_full A Fully Integrated Orthodontic Aligner With Force Sensing Ability for Machine Learning‐Assisted Diagnosis
title_fullStr A Fully Integrated Orthodontic Aligner With Force Sensing Ability for Machine Learning‐Assisted Diagnosis
title_full_unstemmed A Fully Integrated Orthodontic Aligner With Force Sensing Ability for Machine Learning‐Assisted Diagnosis
title_short A Fully Integrated Orthodontic Aligner With Force Sensing Ability for Machine Learning‐Assisted Diagnosis
title_sort fully integrated orthodontic aligner with force sensing ability for machine learning assisted diagnosis
topic electrospinning
force sensing
malocclusion diagnosis
piezoelectric nanogenerator
wearable devices
url https://doi.org/10.1002/advs.202411187
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