Digital Technologies to Support the Decision-Making Process for Dental Implants Treatment Planning
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50755-7_5
Reference24 articles.
1. Canciglieri, M.B., de Mour Leite Staben, A.F.C., Szejka, A.L., Canciglieri Júnior, O.: An approach for dental prosthesis design and manufacturing through rapid manufacturing technologies. Int. J. Comput. Integr. Manuf. 32(9), 832–847 (2019). https://doi.org/10.1080/0951192X.2019.1636410
2. de Andrade, J.M.M., et al.: A multi-criteria decision tool for FMEA in the context of product development and industry 4.0. Int. J. Comput. Integr. Manuf. 35(1), 36–49 (2022). https://doi.org/10.1080/0951192X.2021.1992664
3. Mehta, V., Ahmad, N.: Cone beamed computed tomography in pediatric dentistry: concepts revisited. J. Oral Biol. Craniofac. Res. 10, 210–211 (2020). https://doi.org/10.1016/j.jobcr.2020.03.013
4. Szejka, A.L., Rudek, M., Canciglieri, O., Jr.: Engineering inference mechanisms reasoning system in design for dental implant. WIT Trans. Built Environ. 145, 549–557 (2014). https://doi.org/10.2495/ICBEEE20130701
5. Dantas, T., Rodrigues, F., Araújo, J., Vaz, P., Silva, F.: Customized root-analogue dental implants - Procedure and errors associated with image acquisition, treatment, and manufacturing technology in an experimental study on a cadaver dog mandible. J. Mech. Behav. Biomed. Mater. 133, 105350 (2022). https://doi.org/10.1016/j.jmbbm.2022.105350
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