OpenLB
Open Library of Bioscience

Artificial Intelligence (AI) and periodontal risk assessment.

Abstract

No abstract text available.

Keywords

References

1. Frencken, J. E., Sharma, P., Stenhouse, L., Green, D., Laverty, D., & Dietrich, T. (2017). Global epidemiology of dental caries and severe periodontitis���a comprehensive review. Journal of Clinical Periodontology, 44(Suppl 18), S94���S105.
2. Lang, N. P., & Tonetti, M. S. (2003). Periodontal risk assessment (PRA) for patients in supportive periodontal therapy (SPT). Oral Health & Preventive Dentistry, 1, 7���16.
3. May, M. (2021). Eight ways machine learning is assisting medicine. Nature Medicine, 27, 2���3.
4. OpenAI. (2023). ChatGPT���3.5. https://openai.com/blog/chatgpt
5. Shi, Q., Dong, B., He, T., Sun, Z., Zhu, J., Zhang, Z., & Lee, C. (2020). Progress in wearable electronics/photonics���Moving toward the era of artificial intelligence and internet of things. InfoMat, 2, 1131���1162.
6. Soferman, R. (2019). The transformative impact of artificial intelligence on healthcare outcomes. Journal of Clinical Engineering, 44, 1���3.
7. Soori, M., Arezoo, B., & Dastres, R. (2023). Artificial intelligence, machine learning and deep learning in advanced robotics, a review. Cognitive Robots, 3, 54���70.
8. Tonetti, M. S., Greenwell, H., & Kornman, K. S. (2018). Staging and grading of periodontitis: Framework and proposal of a new classification and case definition. Journal of Periodontology, 89(Suppl 1), S159���S172.
9. Vaswani, A., Shazeer, N. M., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017). Attention is all you need. In: Proceedings of the 31st International Conference on Neural Information Processing System; 6000���6010.

MeSH Term