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Integrating AI in Periodontal Classifications: Enhancing the Patient Experience

Course Number: 695

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References / Additional Resources

  1. https://www.fdiworlddental.org/sites/default/files/2023-01/FDI%20ARTIFICIAL%20INTELLIGENCE%20WORKING%20GROUP%20WHITE%20PAPER_0.pdf. Accessed February 1, 2025.

  2. https://www.dentaly.org/us/research/ai-in-dentistry/. Accessed February 1, 2025.

  3. https://brushlink.com/. Accessed February 1, 2025.

  4. ScienceDaily, Smart dental implants. https://www.sciencedaily.com/releases/2021/09/210909141258.htm. Accessed February 1, 2025.

  5. https://www.cybernetman.com/blog/how-ai-dentistry-is-transforming-dental-solutions/?srsltid=AfmBOor2TBde-XB41-zhqwG9HlfV5_rIJhje9nGH54qfOXcq49qpLlSZ. Accessed February 1, 2025. (need to confirm with author)

  6. https://www.perio.org/wp-content/uploads/2019/08/2017-World-Workshop-on-Disease-Classification-FAQs.pdf. Accessed February 1, 2025.

  7. https://www.waterpik.com/pro/education/pdf/waterpik_Perio_CE_Course.pdf. Accessed February 1, 2025.

  8. https://www.perioimplantadvisory.com/clinical-tips/hygiene-techniques/article/16412254/clinical-applications-for-the-2018-classification-of-peri-implant-diseases-and-conditions. Accessed February 1, 2025.

  9. https://aap.onlinelibrary.wiley.com/toc/19433670/2018/89/S1/. Accessed February 1, 2025.

  10. https://www.perio.org/wp-content/uploads/2019/08/Staging-and-Grading-Periodontitis.pdf. Accessed February 1, 2025.

  11. https://www.cell.com/trends/biotechnology/abstract/S0167-7799(18)30148-3. Accessed February 1, 2025.

  12. https://www.ada.org/resources/research/science-and-research-institute/evidence-based-dental-research. Accessed February 1, 2025.

  13. Albandar JM, Susin C, Hughes FJ. Manifestations of systemic diseases and conditions that affect the periodontal attachment apparatus: Case definitions and diagnostic considerations. J Periodontol. 2018;89 Suppl 1:S183-S203. doi:10.1002/JPER.16-0480

  14. Araujo MG, Lindhe J. Peri-implant health. J Periodontol. 2018;89 Suppl 1:S249-S256. doi:10.1002/JPER.16-0424.

  15. FDI ARTIFICIAL INTELLIGENCE WORKING GROUP WHITE PAPER

  16. https://www.dentaly.org/us/research/ai-in-dentistry

  17. https://brushlink.com

  18. https://www.sciencedaily.com/releases/2021/09/210909141258.htm

  19. https://www.cybernetman.com/blog/how-is-iot-revolutionizing-dentistry

  20. https://www.perio.org/wp-content/uploads/2019/08/2017-World-Workshop-on-Disease-Classification-FAQs.pdf

  21. Risk-Based Periodontal Therapy Continuing Education Course | Waterpik™

  22. Clinical applications for the 2018 classification of peri-implant diseases and conditions

  23. https://www.wiley.com/en-us/journals/Journal+of+Periodontology-p-19433670

  24. American Academy of Periodontology. Staging-and-Grading-Periodontitis.pdf

  25. Trends in Biotechnology. Volume 36, Issue 11. p1127-1144 November 2018

  26. ADA. Policy on Evidence-Based Dentistry. Accessed Jun 23, 2016

  27. Albandar JM, Susin C, Hughes FJ. Manifestations of systemic diseases and conditions that affect the periodontal attachment apparatus: Case definitions and diagnostic considerations. J Periodontol. 2018 Jun;89 Suppl 1:S183-S203. doi: 10.1002/JPER.16-0480. PMID: 29926941.

  28. Araujo MG, Lindhe J. Peri-implant health. J Clin Periodontol. 2018 Jun;45 Suppl 20:S230-S236. doi: 10.1111/jcpe.12952. PMID: 29926494.

Additional Resources


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