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Artificial Intelligence Versus Human Intelligence in Presurgical Implant Planning: A Preclinical Validation
Bahaaeldeen M Elgarba1,2, Rocharles Cavalcante Fontenele1,3,4, Xijin Du1,3,5
1OMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Leuven, Belgium.
Artificial intelligence (AI) offers a reliable method for virtual implant placement in missing mandibular molars, achieving clinically acceptable results comparable to human experts. This AI-driven approach is significantly faster and more consistent than traditional methods.
Area of Science:
- Dental Implantology
- Artificial Intelligence in Dentistry
- Surgical Planning
Background:
- Virtual implant placement is crucial for predictable dental restorations.
- Traditional methods rely on human intelligence (HI), which can be time-consuming and variable.
- Evaluating AI-driven tools is essential to improve efficiency and accuracy in implant dentistry.
Purpose of the Study:
- To validate an AI tool for automated virtual implant placement.
- To compare AI with HI-based approaches for single posterior tooth replacement.
- To assess accuracy, implant dimension selection, time efficiency, and consistency.
Main Methods:
- A dataset of 50 CBCT and intraoral scans was used for AI and HI comparison.
- Quantitative analysis of implant location and dimensions was performed.
- Qualitative evaluation by specialists included a visual analog scale and Turing test.
Main Results:
- AI-planned implants showed 89% clinical acceptability, comparable to HI's 93%.
- AI planning was over twice as fast (187s vs. 406s) and demonstrated superior consistency (MSD of 0 vs. 0.33-0.56mm).
- Implant dimensions selected by AI closely matched expert choices.
Conclusions:
- AI is a reliable tool for virtual implant placement in mandibular molars.
- AI-driven virtual implant placement produces clinically acceptable plans.
- AI offers significant advantages in speed and consistency over human experts.
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