Teeth Reconstruction Using Artificial Intelligence: Trends, Perspectives, and Prospects

Chau, Reinhard Chun Wang; Thu, Khaing Myat; Hsung, Tai-Chiu; Lam, Walter Yu Hang

doi:10.1080/19424396.2023.2199910

Cited by 3 publications

(1 citation statement)

References 92 publications

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“…It is anticipated that improvements in smartphone cameras may facilitate the detection and monitoring of oral diseases, allowing early identification among high-risk patient groups and precise management. As newer-generation mobile networks continue to improve, remote consultation and oral health education via teledentistry [ 64 ] may also become more accessible, as well as the use of cloud-based AI for providing more personalized oral health management [ 65 ].…”

Section: Discussionmentioning

confidence: 99%

A Systematic Review of the Use of mHealth in Oral Health Education among Older Adults

et al. 2023

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Oral diseases are largely preventable. However, as the number of older adults is expected to increase, along with the high cost and various barriers to seeking continuous professional care, a sustainable approach is needed to assist older adults in maintaining their oral health. Mobile health (mHealth) technologies may facilitate oral disease prevention and management through oral health education. This review aims to provide an overview of existing evidence on using mHealth to promote oral health through education among older adults. A literature search was performed across five electronic databases. A total of five studies were identified, which provided low to moderate evidence to support using mHealth among older adults. The selected studies showed that mHealth could improve oral health management, oral health behavior, and oral health knowledge among older adults. However, more quality studies regarding using mHealth technologies in oral health management, oral health behavior, and oral health knowledge among older adults are needed.

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Section: Discussionmentioning

confidence: 99%

A Systematic Review of the Use of mHealth in Oral Health Education among Older Adults

et al. 2023

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Artificial Intelligence Applications in Dentistry

Bianchi

2023

Journal of the California Dental Association

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Development of Physical Exercise Prescription Application for Reduction of Functional Movement Limitation in College Students

Lin,

Tongdecharoen,

Tasnaina

2023

IJSASR

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Background and Aims: The physical decline of college students is greatly affected by the modern lifestyle. College students sit in bad posture for a long time and use electronic products for a long time, and at the same time lack exercise, resulting in increasingly serious restrictions on the functional movement of the body. In this regard, we hope to use modern advanced technology to build an application that can guide college students with functional movement limitations to perform physical training. This paper aims; (1) To investigate the limitations of functional movements among college students. (2) To design physical exercise prescriptions for reduction of functional movement limitation. (3) To construct an application for physical exercise prescription for reduction of functional movement limitation. (4) To experience the application to compare the reduction of functional movement limitation with pre-test and post-test. Materials and Methods: In the two flexible test movements of active straight leg raise and shoulder flexible in FMS, we added 4 and 12 observation factors by Modify Delphi. After the physical exercise prescription was investigated by the expert IOC, all the content was recognized by the expert. Based on the preliminary content, we have built the Physical Exercise Prescription Application for Reduction of Functional Movement Limitation with an exact validity value equal to 1 and reliability while conducting the Chi-Square test of the application and expert group, we found that the application and experts are consistent. For physical exercise prescriptions, we compared the application and experts to find that the Chi-Square value is between 1 to 3 and has a large consistency. The Chi-Square Value of the evaluation process is 0.087, and the consistency evaluated by the application and experts is as high as 76.8%. Results: We used the application to conduct an 8-week experimental intervention of 35 college students. Using the physical exercise prescriptions recommended by the application, through the t-test, students' shoulder flexibility and active straight leg raise are raised significantly (P <0.05). Conclusion: The application can solve the problem of functional movement limitation of college students. In the future, with the increase of capital investment and the expansion of data volume, the application will be able to solve the basic problems of functional movement limitation to more different levels of motion pyramids. To encourage to exanthem case more healthily.

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Teeth Reconstruction Using Artificial Intelligence: Trends, Perspectives, and Prospects

Cited by 3 publications

References 92 publications

A Systematic Review of the Use of mHealth in Oral Health Education among Older Adults

A Systematic Review of the Use of mHealth in Oral Health Education among Older Adults

Artificial Intelligence Applications in Dentistry

Development of Physical Exercise Prescription Application for Reduction of Functional Movement Limitation in College Students

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