Dental Panoramic Radiography in Age Estimation for Dental Care using Dark-Net 19

Dental Panoramic Radiography in Age Estimation for Dental Care using Dark-Net 19
Citations

WEB OF SCIENCE

5
Citations

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5

초록

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.

키워드

Artificial Intelligence (AI)Electromagnetic radiation (X-ray)age estimationdental caredark-NetORAL-HEALTH
제목
Dental Panoramic Radiography in Age Estimation for Dental Care using Dark-Net 19
제목 (타언어)
Dental Panoramic Radiography in Age Estimation for Dental Care using Dark-Net 19
저자
Ko, JihyeongKim, Yu-RinHwang, Han-JeongChang, Won-DuHan, Man-SeokNam, Seoul-HeeJung, Young-Jin
DOI
10.4283/JMAG.2022.27.4.485
발행일
2022-12
유형
Article
저널명
Journal of Magnetics
27
4
페이지
485 ~ 491