Comparison of <scp>AI</scp>‐Powered Tools for <scp>CBCT</scp>‐Based Mandibular Incisive Canal Segmentation: A Validation Study
The enhanced AI model proved to allow a unique and accurate automated MIC segmentation with high accuracy and time efficiency. Besides, its performance was superior to human expert segmentation and a previously trained AI model segmentation.
Authors
- Rocharles Cavalcante Fontenele (ORCID: https://orcid.org/0000-0002-6426-9768)
- Deborah Queiroz Freitas (ORCID: https://orcid.org/0000-0002-1425-5966)
- Reinhilde Jacobs (ORCID: https://orcid.org/0000-0002-3461-0363)
- Maria Fernanda Silva Andrade‐Bortoletto (ORCID: https://orcid.org/0000-0003-2300-3143)
- Thanatchaporn Jindanil (ORCID: https://orcid.org/0009-0004-2724-650X)
Institutions
- Chulalongkorn University (TH)
- Universidade de São Paulo (BR)
- Universidade Estadual de Campinas (UNICAMP) (BR)
- Karolinska Institutet (SE)
- Methodist University of Piracicaba (BR)
- KU Leuven (BE)
Publication Details
- Journal
- Clinical Oral Implants Research
- Published
- 2025-06-07
- DOI
- https://doi.org/10.1111/clr.14455
- Citations
- 7
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 12.53
Funders
- Agentschap Innoveren en Ondernemen
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Vlaamse regering