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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2025-01-01
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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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institution | Kabale University |
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language | English |
publishDate | 2025-01-01 |
publisher | Wiley |
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series | Advanced Science |
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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