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Article: Evaluating the relationship between clinician experience and accuracy in robotic-assisted dental implant placement: a retrospective study

TitleEvaluating the relationship between clinician experience and accuracy in robotic-assisted dental implant placement: a retrospective study
Authors
KeywordsClinician experience
Dental implants
Implant placement accuracy
Learning curve
Level of autonomy (LOA)
Risk factors
Robotic computer-assisted implant surgery (r-CAIS)
Surgical deviation
Issue Date28-Nov-2025
PublisherBioMed Central
Citation
BMC Oral Health, 2025, v. 26, n. 1 How to Cite?
Abstract

Objectives
This study aims to evaluate the accuracy of Level of Autonomy 2 (LOA2) robotic-assisted implant placement by dentists with varying experience, analyze learning curves, and identify accuracy-related risk factors.

Materials and methods
This retrospective study included 362 patients (585 implants) who underwent LOA2 robotic-assisted implant placement (April 2022–April 2024). Six novice clinicians (no robotic experience) and two expert clinicians (> 50 robotic surgeries) were included. Seven deviation parameters were assessed by comparing planned and actual implant positions. Thirteen potential risk factors were evaluated using statistical analyses in R.

Results
After extraoral robotic training, novice clinicians achieved accuracy comparable to experts, with minor exceptions: vertical platform deviation (0.373 ± 0.566 mm vs. 0.255 ± 0.438 mm, p = 0.007) and vertical apex deviation (0.348 ± 0.488 mm vs. 0.249 ± 0.437 mm, p = 0.009). Learning curves for both groups remained flat (coefficient < 0.001), with no significant accuracy improvement over cases increase. Key risk factors for increased deviations included: immediate/early implantation; implant length > 10 mm; poor bone quality; maxillary placement (p < 0.05), and machined-related factors.

Conclusions
The LOA 2 robotic-assisted implant system minimizes the dependence of implant placement accuracy on clinician experience, with only minor differences in vertical deviations between novices and experts. Even though accuracy remains at a high level, high deviations are associated not only with traditional risk factors but also with machine-related risks.


Persistent Identifierhttp://hdl.handle.net/10722/369460
ISSN
2023 Impact Factor: 2.6
2023 SCImago Journal Rankings: 0.737

 

DC FieldValueLanguage
dc.contributor.authorWang, Miao-
dc.contributor.authorZhou, Hui Xia-
dc.contributor.authorLv, Cheng Peng-
dc.contributor.authorTong, Wai Man-
dc.contributor.authorLeung, Wai Keung-
dc.contributor.authorCui, Xiao Xuan-
dc.contributor.authorWang, Xin Xuan-
dc.contributor.authorSriprasert, Intad-
dc.contributor.authorZhou, Qin-
dc.contributor.authorHe, Long Long-
dc.date.accessioned2026-01-24T00:35:18Z-
dc.date.available2026-01-24T00:35:18Z-
dc.date.issued2025-11-28-
dc.identifier.citationBMC Oral Health, 2025, v. 26, n. 1-
dc.identifier.issn1472-6831-
dc.identifier.urihttp://hdl.handle.net/10722/369460-
dc.description.abstract<p>Objectives<br>This study aims to evaluate the accuracy of Level of Autonomy 2 (LOA2) robotic-assisted implant placement by dentists with varying experience, analyze learning curves, and identify accuracy-related risk factors.</p><p>Materials and methods<br>This retrospective study included 362 patients (585 implants) who underwent LOA2 robotic-assisted implant placement (April 2022–April 2024). Six novice clinicians (no robotic experience) and two expert clinicians (> 50 robotic surgeries) were included. Seven deviation parameters were assessed by comparing planned and actual implant positions. Thirteen potential risk factors were evaluated using statistical analyses in R.</p><p>Results<br>After extraoral robotic training, novice clinicians achieved accuracy comparable to experts, with minor exceptions: vertical platform deviation (0.373 ± 0.566 mm vs. 0.255 ± 0.438 mm, p = 0.007) and vertical apex deviation (0.348 ± 0.488 mm vs. 0.249 ± 0.437 mm, p = 0.009). Learning curves for both groups remained flat (coefficient < 0.001), with no significant accuracy improvement over cases increase. Key risk factors for increased deviations included: immediate/early implantation; implant length > 10 mm; poor bone quality; maxillary placement (p < 0.05), and machined-related factors.</p><p>Conclusions<br>The LOA 2 robotic-assisted implant system minimizes the dependence of implant placement accuracy on clinician experience, with only minor differences in vertical deviations between novices and experts. Even though accuracy remains at a high level, high deviations are associated not only with traditional risk factors but also with machine-related risks.</p>-
dc.languageeng-
dc.publisherBioMed Central-
dc.relation.ispartofBMC Oral Health-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectClinician experience-
dc.subjectDental implants-
dc.subjectImplant placement accuracy-
dc.subjectLearning curve-
dc.subjectLevel of autonomy (LOA)-
dc.subjectRisk factors-
dc.subjectRobotic computer-assisted implant surgery (r-CAIS)-
dc.subjectSurgical deviation-
dc.titleEvaluating the relationship between clinician experience and accuracy in robotic-assisted dental implant placement: a retrospective study-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1186/s12903-025-07389-x-
dc.identifier.scopuseid_2-s2.0-105027117834-
dc.identifier.volume26-
dc.identifier.issue1-
dc.identifier.eissn1472-6831-
dc.identifier.issnl1472-6831-

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