WEKO3
アイテム
AIを用いたパノラマX線画像からのカルテ入力支援システムの開発
https://tokushima-u.repo.nii.ac.jp/records/2011335
https://tokushima-u.repo.nii.ac.jp/records/2011335e455ee9b-1434-4aab-a342-a92f19f19e54
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
dentalradiology_62_1_24.pdf (909 KB)
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| Item type | 文献 / Documents(1) | |||||||||||||||||||||||
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| 公開日 | 2023-11-08 | |||||||||||||||||||||||
| アクセス権 | ||||||||||||||||||||||||
| アクセス権 | open access | |||||||||||||||||||||||
| 資源タイプ | ||||||||||||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||||||||||
| 資源タイプ | journal article | |||||||||||||||||||||||
| 出版社版DOI | ||||||||||||||||||||||||
| 関連識別子 | https://doi.org/10.11242/dentalradiology.62.24 | |||||||||||||||||||||||
| 関連名称 | 10.11242/dentalradiology.62.24 | |||||||||||||||||||||||
| 出版タイプ | ||||||||||||||||||||||||
| 出版タイプ | VoR | |||||||||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||||||||||
| タイトル | ||||||||||||||||||||||||
| タイトル | AIを用いたパノラマX線画像からのカルテ入力支援システムの開発 | |||||||||||||||||||||||
| タイトル別表記 | ||||||||||||||||||||||||
| その他のタイトル | Development of an AI-based Dental Support System for Panoramic X-ray Images | |||||||||||||||||||||||
| 著者 |
鳥井, 浩平
× 鳥井, 浩平
WEKO
1344
× 誉田, 栄一
WEKO
1206
× 北, 研二
WEKO
94
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| 抄録 | ||||||||||||||||||||||||
| 内容記述 | Research and development of AI-based diagnostic systems in the medical and dental fields is flourishing worldwide. However, there are few practical dental support systems and dental databases. Support for medical record input is needed to reduce the burden at diagnosis. We have been developing a dental database with detailed annotation information and building an AI system for automatic teeth detection, teeth numbering, teeth contour estimation, and disease diagnosis from panoramic X-ray images since 2019. Three dentists and one expert of dental radiology created our database, which includes teeth number based on FDI method, coordinates of teeth contour, and various dental conditions, using Anotee, a software developed for creating dental databases. Our system consists of multiple deep neural networks that were trained using 1,781 panoramic X-ray images and annotations, which excluded deciduous teeth and rare dental conditions. The deep neural network to classify dental conditions is based on EfficientNetV2-S and can diagnose multiple dental conditions. To verify our system’s usefulness, we evaluated two dental condition classifications for 20 dental conditions and 10 dental conditions such as caries, periodontitis, root canal filling, inlay, composite resin, crown, pontic, implant, and impacted tooth. We performed 5-fold cross validation and calculated precision, sensitivity, and specificity. Experimental results were encouraging. For the diagnosis of 20 conditions, precision was 90.4％, sensitivity was 86.1％, and specificity was 99.4％; for the diagnosis of 10 conditions, precision was 92.9％, sensitivity was 90.0％, and specificity was 99.1％. The system achieved high accuracy, suggesting that AI systems are useful in assisting medical record input support. | |||||||||||||||||||||||
| キーワード | ||||||||||||||||||||||||
| 主題 | パノラマX線画像 | |||||||||||||||||||||||
| キーワード | ||||||||||||||||||||||||
| 主題 | 人工知能 | |||||||||||||||||||||||
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| 主題 | 画像認識 | |||||||||||||||||||||||
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| 主題 | 歯科支援システム | |||||||||||||||||||||||
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| 主題 | panoramic X-ray images | |||||||||||||||||||||||
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| 主題 | artificial intelligence（AI） | |||||||||||||||||||||||
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| 主題 | image classification | |||||||||||||||||||||||
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| 主題 | dental support system | |||||||||||||||||||||||
| 書誌情報 |
ja : 歯科放射線 巻 62, 号 1, p. 24-34, 発行日 2022 |
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| 収録物識別子タイプ | ISSN | |||||||||||||||||||||||
| 収録物識別子 | 03899705 | |||||||||||||||||||||||
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| 収録物識別子タイプ | ISSN | |||||||||||||||||||||||
| 収録物識別子 | 21856311 | |||||||||||||||||||||||
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| 収録物識別子タイプ | NCID | |||||||||||||||||||||||
| 収録物識別子 | AN00101479 | |||||||||||||||||||||||
| 出版者 | ||||||||||||||||||||||||
| 出版者 | 日本歯科放射線学会 | |||||||||||||||||||||||
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| 識別子 | 392405 | |||||||||||||||||||||||
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| 言語 | jpn | |||||||||||||||||||||||
