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Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
Published on: February 23, 2024
Dental implant planning using artificial intelligence: A systematic review and meta-analysis
Ahmed Yaseen Alqutaibi1, Radhwan Algabri2, Wafaa Ibrahim Ibrahim3
1Associate Professor, Substitutive Dental Science Department, College of Dentistry, Taibah University, Al Madinah, Saudi Arabia; and Associate Professor, Department of Prosthodontics, Faculty of Dentistry, Ibb University, Ibb, Yemen.
Artificial intelligence (AI) shows promise in dental implant planning, accurately identifying edentulous areas and measuring bone dimensions from cone beam computed tomography (CBCT) scans. Further research is needed to improve AI
Area of Science:
- Oral surgery and implantology
- Radiology
- Artificial intelligence in medicine
Background:
- Limited data exists on the efficacy of artificial intelligence (AI) in dental implant planning.
- AI's role in identifying edentulous areas and assessing bone dimensions requires further investigation.
Purpose of the Study:
- To systematically review and meta-analyze studies evaluating AI algorithms for dental implant planning.
- To assess AI's effectiveness in detecting edentulous regions and measuring bone dimensions.
Main Methods:
- Systematic review of MEDLINE/PubMed, Web of Science, Cochrane, and Scopus databases, supplemented by manual searches.
- Inclusion of peer-reviewed studies on AI diagnostic tools for dental implant planning using radiographs.
- Quality assessment using the QUADAS-2 tool; latest search in January 2024.
Main Results:
- Twelve articles utilizing AI with cone beam computed tomography (CBCT) for implant planning were included.
- Pooled accuracy for AI in identifying edentulous areas was 96% (mandible) and 83% (maxilla).
- Study quality varied, with 8 low risk of bias, 2 some concern, and 2 high risk of bias.
Conclusions:
- AI models demonstrate potential for identifying edentulous areas and measuring bone for dental implant planning using CBCT.
- Enhanced accuracy, generalizability, and applicability of AI approaches necessitate further rigorous research.

