イワイ　コウメイ   IWAI KOMEI   岩井　浩明    所属   朝日大学  歯学部 口腔感染医療学講座 社会口腔保健学    朝日大学  大学院 歯学研究科    職種   講師
言語種別	英語
発行・発表の年月	2026/02
形態種別	研究論文
査読	査読あり
標題	Accuracy of an Artificial Intelligence Model to Predict Dementia Development with Additional Dental Checkup Data: A Retrospective Cohort Study
執筆形態	共著
掲載誌名	AI
掲載区分	国外
巻・号・頁	7(2),pp.42
担当区分	筆頭著者
著者・共著者	◎Komei Iwai, Tetsuji Azuma, Takatoshi Yonenaga, Yasuyuki Sasai, Koichiro Tabata, Iwane Sugiura, Seiji Nakashima, Yoshikazu Nagase, Takaaki Tomofuji
概要	This retrospective cohort study developed an artificial intelligence (AI) model to predict incident dementia and evaluated its predictive performance using a validation cohort. The study participants were 7384 older adults (age ≥ 75 years) who underwent regional dental checkup in Gifu Prefecture, Japan, in 2018 and 2020. The AI model trained solely on NDB data showed a sensitivity of 0.73 and specificity of 0.91 in predicting the presence or absence of dementia development after 2 years. By contrast, the AI model trained on NDB and dental checkup data showed a sensitivity of 0.75 and specificity of 0.95, indicating improvement in both metrics. Combining different sets of data, such as NDB and dental checkup data, for training may be useful for improving the accuracy of AI models to predict dementia development.