aceAI-assisted versus point-based registration for digital planning in CBCT images with metallic artifacts
Accurate registration between cone-beam computed tomography (CBCT) images and intraoral scans is fundamental to digital implant planning because registration errors may propagate throughout the digital workflow and affect the accuracy of computer-guided implant surgery. Conventional point-based registration relies on manually selected anatomical landmarks and may be compromised by metallic artifacts that obscure dental structures. Artificial intelligence (AI)-assisted registration has recently emerged as a promi…
In 45 patients with metal-distorted dental scans, AI-assisted registration aligned images with a median discrepancy of 0.190 mm versus 0.268 mm for manual point-based registration, with no added time.
The authors state that further prospective multicenter studies using multiple implant-planning software platforms and broader clinical scenarios are needed to confirm the findings.
Evidence
- Peer-reviewedBMC Oral Health2026-10-31
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Truvace Impact Record TRV-2026-2323, v1: “AI-assisted versus point-based registration for digital planning in CBCT images with metallic artifacts.” Truvace, 2026-10-31. /record/TRV-2026-2323 (accessed at citation time). sha256 28de6c62bd17eadc…
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