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Computer-aid dynamic implant placement surgery- a cases series and technique notes

2017· other· en· W6946339495 on OpenAlexaboutno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsImplantSinus (botany)Maxillary sinusAbsolute deviationSinus liftSoftware

Abstract

fetched live from OpenAlex

Background and Purpose: Poor implant positioning increases the risk of biological complications and biomechanics overload. Guided implant surgery (static guided or dynamic guided) improved the implants placement in a proper position. The aim of this present is to assess the computer-aid dynamic guided implant placement surgery accuracy and the clinic efficiencyMaterials and methods: Totally 9 partially edentulous patients (4 female, 5 male) were included and received 16 implants placed under computer-aid dynamic guided surgery, One patient had insufficient bone width and height, used navigation to determine the inferior floor of sinus lateral wall and performed antrostomy according to the frame design by Navident software (Navident, ClaroNav, Canada) . After cone-beam CT acquisition, DICOM files were imported and merge with predetermined crown STL data, planning restorative driven implant placement. 11 implants placed in healed ridges, 5 implants in immediate placement. Post operation assessment use the EvaluNav software to evaluate the deviations between the planned and the postsugery position of the implants. Estimate the deviations of entrance point, apical point (3d), apical point (v) and angle deviations.Results: The EvaluNav software estimate the mean deviation of entrance point is 0.9 3 u00b1 0.18 mm, the apical deviation (3d) is 1.61 u00b1 0.87 mm, the apical deviation(v) is 0.90 u00b1 0.92 mm and the angle deviation is 3.43 u00b1 0.99 degree. Used the navigation guided surgery was easily to determine the inferior border of the sinus walls, more efficiency for antrostomy of proper sized sinus lateral window and avoid the complications during sinus floor elevation procedures.Conclusions: Based on the limitations of this presentation, it can be concluded that the accuracy of computer-aid dynamic guided implant surgery is within clinical acceptance, and decrease human free hand errors. The safety range of at least 2 mm is need respected. Navigation guided surgery of antrostomy for lateral sinus elevation augmentation is clinic efficiency and save time for open lateral sinus window elevation procedures.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.081
GPT teacher head0.352
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2017
Admission routes1
Has abstractyes

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