메뉴 건너뛰기
소속 기관 / 학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
고객센터 ENG
주제분류

논문 기본 정보

저자정보
(Chonnam National University) (Silla University) (Korea University) (Pukyong National University) (Kangwon National University) (Kangwon National University) (Chonnam National University)
저널정보
한국자기학회 Journal of Magnetics Journal of Magnetics Vol.27 No.4
오류 신고하기

피인용 0

검색

    초록·키워드

    A rapidly increasing human lifespan has led to population aging with growing demands for healthcare, including dental healthcare services. The oral cavity plays a crucial role in mastication and speech. Furthermore, artificial intelligence (AI) has extensively developed, and automated diagnostic technology continues to evolve. Therefore, it is necessary to integrate objective AI, automatic diagnosis, and dental care to reduce errors resulting from subjective diagnosis. This study used 15,000 dental panoramic X-ray images to train an AI algorithm and estimate dental age, using Darknet-19 for the AI model. The accuracy was about 84 % and 96 %, respectively, when the dental estimate acceptable range was ± 5 and ± 10 years. Based on this model, patients could evaluate their oral condition and improve their quality of life using appropriate treatment and prevention methods.

    최근 본 자료 전체보기