AI shows close agreement with experts in implant planning

Dental Tribune International

Mon. 22. June 2026

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LEUVEN, Belgium: Artificial intelligence (AI) may help address persistent challenges in digital implant planning and guided surgery by supporting tasks such as anatomical segmentation and landmark detection, potentially allowing clinicians to start from a standardised preliminary plan. To that end, a new study has evaluated the clinical feasibility, accuracy and efficiency of AI-assisted implant planning in the anterior maxilla. The findings suggest that AI-generated preliminary plans may support clinician-supervised planning in this demanding region.

The researchers evaluated 35 retrospectively selected single-tooth anterior maxillary implant cases, each with paired CBCT and intra-oral scan datasets. The study compared AI-assisted planning with virtual planning led by an experienced prosthodontist.

The investigators reported that AI-generated preliminary plans met established clinical accuracy thresholds for implant position deviation in most cases. Excellent agreement was observed between the two approaches, suggesting that AI-generated proposals can closely match expert-derived virtual implant planning. These findings are consistent with previous research showing that AI-generated implant plans can achieve close agreement with those produced by experienced clinicians.

The AI system also achieved clinically relevant bone dimensions around planned implants. Measurements of labial and palatal bone thickness, as well as distances to neighbouring teeth and crestal bone, showed no statistically significant differences compared with human planning. Implant dimensions selected by the AI closely matched those chosen by clinicians.

The study also demonstrated that AI-generated wax-ups showed comparable alignment with the planned implant positions. Virtual assessments of surgical guide fit also revealed no significant differences between the two workflows, supporting the potential use of AI-assisted tools in clinician-supervised digital implant planning.

One of the most notable findings was the reduction in planning time. AI-assisted planning was around 40% faster, requiring a median of 246 seconds compared with 420 seconds for clinician-led planning. When planning was repeated in a subset of cases, the AI workflow demonstrated no deviation between sessions, whereas the human planning showed measurable variation.

The authors emphasised that AI should be viewed as a decision support tool rather than a replacement of clinical expertise. They concluded that AI-assisted implant planning could enhance efficiency, standardisation and consistency in implant dentistry while maintaining clinically acceptable planning outcomes under clinician supervision.

The article, titled “Clinical applicability of artificial intelligence–driven implant planning and surgical guide design in the maxillary esthetic zone: A registry-based cohort study”, was published online on 3 June 2026 in Clinical Oral Implants Research, ahead of inclusion in an issue.