Validation of a novel tool for automated tooth modelling by fusion of CBCT-derived roots with the respective IOS-derived crowns
Manual CBCT/IOS fusion performed by experts is effective but labor-intensive and time-consuming. AI algorithms show a remarkable ability to minimize human variability, resulting in more reliable and efficient fusion. This capability demonstrates the potential to provide a more personalized, precise and standardized approach for treatment planning and dental procedures.
Authors
- Rocharles Cavalcante Fontenele (ORCID: https://orcid.org/0000-0002-6426-9768)
- Fernanda Bulhões Fagundes (ORCID: https://orcid.org/0000-0002-9777-4197)
- Dhanaporn Papasratorn (ORCID: https://orcid.org/0000-0001-9952-6704)
- Reinhilde Jacobs (ORCID: https://orcid.org/0000-0002-3461-0363)
- Benedetta Baldini (ORCID: https://orcid.org/0000-0003-4365-4998)
Institutions
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT)
- Karolinska Institutet (SE)
- KU Leuven (BE)
Publication Details
- Journal
- Journal of Dentistry
- Published
- 2024-12-30
- DOI
- https://doi.org/10.1016/j.jdent.2024.105546
- Citations
- 14
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 6.91