Novel method of identifying unknown dental implants via 3D scan data matching: Proof‐of‐concept study

RMSE values ≤ 0.0866 were statistically significant in predicting accurate implant identification. RMSE analysis offers an objective method to distinguish implant connection types and may complement radiographic assessment when prior records or optimal radiographic views are unavailable. Further work is needed to expand reference libraries for fixture‑level identification. This commonly encountered scenario has many clinical, professional, and ethical implications for routine maintenance and treatment of complications in implant dentistry.

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Publication Details

Journal
Journal of Prosthodontics
Published
2025-10-18
DOI
https://doi.org/10.1111/jopr.70034
Primary Topic
Dental Radiography and Imaging
Type
article
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article

Novel method of identifying unknown dental implants via 3D scan data matching: Proof‐of‐concept study

Cheryl J. Park, Webster Kerry Felix
Journal of Prosthodontics
Dental Radiography and Imaging
article

Novel method of identifying unknown dental implants via 3D scan data matching: Proof‐of‐concept study

Cheryl J. Park, Webster Kerry Felix
article en

Abstract

RMSE values ≤ 0.0866 were statistically significant in predicting accurate implant identification. RMSE analysis offers an objective method to distinguish implant connection types and may complement radiographic assessment when prior records or optimal radiographic views are unavailable. Further work is needed to expand reference libraries for fixture‑level identification. This commonly encountered scenario has many clinical, professional, and ethical implications for routine maintenance and treatment of complications in implant dentistry.

Journal of ProsthodonticsVol. 35(3)
University of Southern California (US)
Openalex Percentile: Top 59%
Dental Radiography and Imaging
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