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Record W2002651195 · doi:10.1089/rej.2007.0593

Therapeutic Ultrasound Applications in Craniofacial Growth, Healing and Tissue Engineering

2007· review· en· W2002651195 on OpenAlex
Tarek El‐Bialy

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRejuvenation Research · 2007
Typereview
Languageen
FieldEngineering
TopicUltrasound and Hyperthermia Applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCementumTherapeutic ultrasoundDistraction osteogenesisMedicineCraniofacialUltrasoundDentistryDentinResorptionBone healingOrthodonticsAnatomyDistractionPathologyRadiologyBiology

Abstract

fetched live from OpenAlex

Previous reports have shown that therapeutic ultrasound enhances healing of fractured bone as well as cut tendons. Moreover, it has been shown that therapeutic ultrasound enhances bone formation during distraction osteogenesis that is also known as Ilizarove technique. It has been recently reported that therapeutic ultrasound enhances tooth formation and eruption during mandible distraction osteogenesis in rabbits. This enhanced tooth formation and eruption was caused by new dental tissue formation, known as dentin and cementum. This led to a clinical trial in human that showed that therapeutic ultrasound can enhance repairing tooth root resorption caused by orthodontic treatment. This discovery can lead to many applications of ultrasound in the dental as well as in the craniofacial reconstructions. This paper provides an overview of the molecular basis of the achieved clinical results. Moreover, potential future application will be elaborated.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.998
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.093
GPT teacher head0.402
Teacher spread0.309 · 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