Artificial intelligence versus semi-automatic segmentation of the inferior alveolar canal on cone-beam computed tomography scans: A pilot study
The results of the study indicate that AI-based tools may offer a reliable approach for the segmentation of the IAC in the context of dental pre-surgical planning. However, further comprehensive studies are required to compare the methods and consider their limitations more comprehensively.
Authors
- Michał Rychlik
- Marta Dyszkiewicz-Konwińska (ORCID: https://orcid.org/0000-0002-8069-9004)
- Tomasz Kulczyk (ORCID: https://orcid.org/0000-0002-0312-619X)
- Julien Issa (ORCID: https://orcid.org/0000-0002-6498-7989)
- Agata Czajka-Jakubowska (ORCID: https://orcid.org/0000-0002-1692-2910)
- Raphaël Olszewski (ORCID: https://orcid.org/0000-0002-2211-7731)
Institutions
- Poznan University of Medical Sciences (PL)
- Cliniques Universitaires Saint-Luc (BE)
- Neuroelectronics Research Flanders (BE)
- Poznań University of Technology (PL)
Publication Details
- Journal
- Dental and Medical Problems
- Published
- 2024-12-18
- DOI
- https://doi.org/10.17219/dmp/175968
- Citations
- 6
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.96
Funders
- Narodowa Agencja Wymiany Akademickiej