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.