New Deep Learning Model Aims to Predict Endodontic Retreatment Difficulty from Radiographs — Validation Study Opens

References

1. 1.Cairo University. (2024). Development and Validation of a Deep Learning Model to Predict Endodontic Retreatment Difficulty From Periapical Radiographs. ClinicalTrials.gov. NCT07611279. https://clinicaltrials.gov/study/NCT07611279
2. 2.Aminoshariae, A., & Kulild, J. C. (2021). Evidence-based endodontic treatment planning: Clinical decision-making in the age of artificial intelligence. Journal of Endodontics, 47(7), 1067-1082. https://doi.org/10.1016/j.joen.2021.03.014
3. 3.Ng, Y. L., Mann, V., & Gulabivala, K. (2011). A prospective study of the factors affecting outcomes of nonsurgical root canal treatment: part 1: periapical health. International Endodontic Journal, 44(7), 583-609. https://doi.org/10.1111/j.1365-2591.2010.01818.x
4. 4.Setzer, F. C., Shi, K. J., Zhang, Z., Yan, H., Yoon, H., Mupparapu, M., & Li, J. (2020). Artificial intelligence for the computer-aided detection of periapical lesions in cone-beam computed tomographic images. Journal of Endodontics, 46(7), 987-993. https://doi.org/10.1016/j.joen.2020.03.025
5. 5.Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L., ... & de Vet, H. C. (2015). STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ, 351, h5527. https://doi.org/10.1136/bmj.h5527
6. 6.Vertucci, F. J. (2005). Root canal morphology and its relationship to endodontic procedures. Endodontic Topics, 10(1), 3-29. https://doi.org/10.1111/j.1601-1546.2005.00129.x
7. 7.Torabinejad, M., Corr, R., Handysides, R., & Shabahang, S. (2009). Outcomes of nonsurgical retreatment and endodontic surgery: a systematic review. Journal of Endodontics, 35(7), 930-937. https://doi.org/10.1016/j.joen.2009.04.023
8. 8.Paik, S., Sechrist, C., Torabinejad, M. (2004). Levels of evidence for the outcome of nonsurgical endodontic treatment. Journal of Endodontics, 30(11), 759-766. https://doi.org/10.1097/00004770-200411000-00001
9. 9.Australian Health Practitioner Regulation Agency. (2023). Dental Board of Australia: Guidelines for scope of practice. AHPRA. https://www.dentalboard.gov.au/codes-guidelines.aspx