Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/109745
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Chinese and Bilingual Studies | en_US |
dc.creator | Chan, RSM | en_US |
dc.creator | Wong, WWS | en_US |
dc.creator | Zhou, TY | en_US |
dc.creator | Liu, Y | en_US |
dc.creator | Tsang, HT | en_US |
dc.creator | Luk, CL | en_US |
dc.creator | Chan, TH | en_US |
dc.creator | Lam, WYH | en_US |
dc.creator | Tsoi, JKH | en_US |
dc.date.accessioned | 2024-11-11T02:21:57Z | - |
dc.date.available | 2024-11-11T02:21:57Z | - |
dc.identifier.issn | 0300-5712 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/109745 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Ltd | en_US |
dc.subject | Artificial intelligence | en_US |
dc.subject | Biomechanical | en_US |
dc.subject | Dry mouth | en_US |
dc.subject | Masticatory efficiency | en_US |
dc.subject | Occlusal force | en_US |
dc.subject | Oral diadochokinesis | en_US |
dc.subject | Oral functions | en_US |
dc.subject | Swallowing ability | en_US |
dc.subject | Tongue strength | en_US |
dc.title | Human-AI collaboration improves adults’ oral biomechanical functions : a multi-centre, self-controlled clinical trial | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 150 | en_US |
dc.identifier.doi | 10.1016/j.jdent.2024.105354 | en_US |
dcterms.abstract | Objectives: Maintenance of oral muscle functions is important for survival and communication. Utilizing Artificial Intelligence (AI) as a self-health-management material has shown promise. Here we developed a functional and AI-enabled smartphone e-Oral APP that provided real-time feedback features to let humans collaborate with AI, targeting to improve oral biomechanical and speech functions of adults. | en_US |
dcterms.abstract | Methods: A total of 113 neurologically healthy Hong Kong citizens over 50 years old were recruited in this study from June to October 2022. A set of 12 exercises of the tongue, lips, and jaw were conducted with guidance provided in the self-developed e-Oral APP, in which visual-audio demonstrations and immediate feedback on facial movements by an open-source AI-pretrained 68-point Ensemble of Regression Tree (ERT) face landmark detector was given to the users. After 8-week exercises, assessments after 1-week and 4-week post-training were conducted. Primary outcomes were measured on oral functions, including occlusal force, masticatory efficiency, tongue strength, along with dry mouth condition, and oral health-related quality of life (OHQoL), while secondary outcomes were comprised of oral diadochokinesis (DDK) and swallowing ability. The usability of the APP was evaluated by a self-written questionnaire. | en_US |
dcterms.abstract | Results: After exercising a set of 12 exercises on the tongue, lips, and jaw for 8 weeks, 70 out of 113 participants (average age of 67.70±4.93 y.o., 52 female and 18 male) had a significant improvement in the occlusal force (p < 0.001), while masticatory efficiency (p = 0.002), tongue pressure (p < 0.001) and endurance (p = 0.004) were also improved. 80.3 % of respondents rated the APP with an overall rating of 3 out of 5 points, and 68.6 % would recommend the APP to others. | en_US |
dcterms.abstract | Conclusions: AI-based APP can be an effective approach to help healthy adults improve their occlusal force, masticatory efficiency, tongue functions, and oral diadochokinesis after 8-week home oral exercises. Furthermore, these improvements can be sustained for at least four weeks. | en_US |
dcterms.abstract | Clinical significance: This is the first AI-assisted APP developed for oral muscle training. Our findings demonstrated that a self-administrated human-AI collaboration APP can improve clinically oral muscle biomechanics and functions for healthy adults. AI technology in smartphone gadgets provides a cost-effective, convenient, and reliable means for oral muscles training for adults. | en_US |
dcterms.accessRights | embargoed access | en_US |
dcterms.bibliographicCitation | Journal of dentistry, Nov. 2024, v. 150, 105354 | en_US |
dcterms.isPartOf | Journal of dentistry | en_US |
dcterms.issued | 2024-11 | - |
dc.identifier.eissn | 1879-176X | en_US |
dc.identifier.artn | 105354 | en_US |
dc.description.validate | 202411 bcch | en_US |
dc.description.oa | Not applicable | en_US |
dc.identifier.FolderNumber | a3276 | - |
dc.identifier.SubFormID | 49866 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Nakao Foundation | en_US |
dc.description.pubStatus | Published | en_US |
dc.date.embargo | 2025-11-30 | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
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