Enhancing predictive analytics in mandibular third molar extraction using artificial intelligence: A CBCT-Based study
The study demonstrated the high reliability of AI-based models to forecast the complexity of the mandibular third molar extractions from CBCT reports. The results indicate that AI-driven models can accurately predict extraction difficulty, thereby aiding clinicians in making informed decisions and potentially improving patient outcomes.
Authors
- F Shafiee Khorshidi
- Maryam Paknahad (ORCID: https://orcid.org/0000-0002-9022-6518)
- Rasool Esmaeilyfard (ORCID: https://orcid.org/0000-0003-2643-7051)
Institutions
- Shiraz University of Medical Sciences (IR)
- Shiraz University of Technology (IR)
Publication Details
- Journal
- The Saudi Dental Journal
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1016/j.sdentj.2024.11.007
- Citations
- 2
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.99