Related Experiment Video
Updated: Sep 9, 2025
Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
Published on: February 23, 2024
Clinical evaluation of AI-based three-dimensional dental implant planning: A multicenter study
Sung-Ah Che1, Byoung-Eun Yang1, Sang-Yoon Park1
1Department of Oral and Maxillofacial Surgery, Hallym University Sacred Heart Hospital, Anyang 14068, Republic of Korea; Department of Artificial Intelligence and Robotics in Dentistry, Graduate School of Clinical Dentistry, Hallym University, Chuncheon 24252, Republic of Korea; Institute of Clinical Dentistry, Hallym University, Chuncheon 24252, Republic of Korea; Dental Artificial Intelligence and Robotics R&D Center, Hallym University Medical Center, Anyang 14066, Republic of Korea.
Artificial intelligence (AI) in dental implant planning shows promise as a decision-support tool. While AI offers guidance, further development is needed to improve accuracy compared to clinician-placed implants.
Area of Science:
- Digital dentistry and artificial intelligence applications in oral surgery.
- Advanced surgical planning and navigation technologies.
Background:
- Digital technology has simplified dental implant procedures.
- The clinical efficacy of artificial intelligence (AI) for implant planning requires further investigation.
Purpose of the Study:
- To evaluate the clinical applicability of AI-based implant planning software.
- To compare AI-planned implant positions with clinician-placed implants.
Main Methods:
- Analysis of 350 implants from 228 patients across four university hospitals.
- Development of an AI algorithm using deep convolutional neural networks.
- Measurement and statistical analysis of 3D deviations between AI-planned and clinician-placed implants.
Main Results:
- Mean deviations: coronal 2.99mm, apical 3.66mm, angular 7.56°.
- Angular deviation increased significantly without contralateral teeth (p=0.039).
- Apical deviation was significantly greater in the mandible (p<0.001).
Conclusions:
- AI-based 3D implant planning shows potential as a clinical decision-support system.
- Discrepancies necessitate further research to enhance AI predictive accuracy.
- AI may support clinicians, improving workflow and standardizing treatment planning.
