2023 Fiscal Year Final Research Report
Novel masticatory ability evaluation system applying image analysis technology by AI
| Project/Area Number |
21K17041
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 57050:Prosthodontics-related
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| Research Institution | Okayama University |
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Principal Investigator |
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| Project Period (FY) |
2021-04-01 – 2024-03-31
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| Keywords | 咀嚼能力 / 画像解析 / AI |
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| Outline of Final Research Achievements |
An image discrimination network was constructed through iterative learning by AI. By using the trained network, it is possible to accurately discriminate between images of food masses in good states of mastication and those in poor states of mastication. Compared to conventional image analysis methods, the use of the trained network significantly reduces analysis time. Although the types of test foods are currently limited, this method can evaluate masticatory function using actual test foods.
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| Free Research Field |
咀嚼能力評価
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| Academic Significance and Societal Importance of the Research Achievements |
AIを用いたディ－プラーニングによる画像認識技術は，これまで咀嚼物の画像撮影を行った後に咀嚼能力評価を行うという長時間を有し，テクニカルセンシティブな工程の自動化を可能にした. 従って，今後国民の健康増進に寄与させるための技術として，より簡便かつ汎用性の高い評価システムへと発展できる可能性がある.
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