Diagnostic Performance of Deep Learning for Automated Mandibular Canal Segmentation on CBCT Images: A Systematic Review and Meta-Analysis.
AI systems accurately locate the mandibular nerve in dental imaging, potentially improving surgical safety during implant procedures.
Accurate localization of the mandibular canal in Cone-Beam Computed Tomography (CBCT) images is critical for preventing iatrogenic nerve injury during maxillofacial surgery and dental implant procedures. The integration of these AI systems into clinical protocols has the potential to enhance surgical safety and standardize preoperative planning processes in dental implantology.
What the study was
- Study design
- Meta-analysis
- Category
- Diagnostics
- Maturity
- Potentially Practice-Changing
- Journal
- Journal of stomatology, oral and maxillofacial surgery
Why it surfaced
Matched topic(s): AI/ML in clinical diagnostics and imaging. Study design: Meta-analysis. Score 6/10.
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