지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.12
- 수록면
- 485 - 491 (7page)
- DOI
- 10.4283/JMAG.2022.27.4.485
이용수
초록· 키워드
오류제보하기
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.
목차
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusions
References
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