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Record W2070297012 · doi:10.1016/s0161-4754(02)54130-0

Calibration and electrical safety status of therapeutic ultrasound used by chiropractic physicians

2003· article· en· W2070297012 on OpenAlexaboutno aff
Dwain M Daniel, Ronald L. Rupert

Bibliographic record

VenueJournal of Manipulative and Physiological Therapeutics · 2003
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsnot available
Fundersnot available
KeywordsChiropracticMedicineUltrasoundCalibrationPatient safetyTherapeutic ultrasoundMedical physicsPhysical therapyMedical emergencyAlternative medicineRadiologyHealth careStatisticsPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Ultrasound therapy is a commonly used therapeutic modality within the chiropractic profession. Previous calibration studies of ultrasound units within the physical therapy communities in Scotland and Canada have shown that approximately two thirds of units tested did not conform to minimum calibration standards. Similar failure rates may exist in the chiropractic profession and need to be addressed. OBJECTIVE: To determine whether ultrasound machines used by chiropractic physicians met established calibration and electrical safety standards, and to assess frequency of ultrasound therapy use. DESIGN: This cross-sectional study tested 45 ultrasound units for ultrasonic output and electrical safety. Additionally, we asked the doctors to complete a short survey relating to education, usage, and maintenance of their ultrasound equipment. RESULTS: Of the 45 machines tested, 44% failed either calibration or electrical safety inspection. Failure rate was age dependent (P < or =.05). Only 2 of the 45 machines tested had been safety checked within the last year. CONCLUSIONS: A large percentage of ultrasound machines in chiropractic physicians' offices deliver too much or too little dosage to the patient. Electrical safety inspections also revealed a significant failure rate. Chiropractic physicians must become more aware of the requirement for yearly calibration and safety inspections, and understand that failure to maintain their equipment could result in loss of therapeutic effectiveness and pose a threat to the safety of their patients and staff.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.888
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.249
GPT teacher head0.393
Teacher spread0.144 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

Quick stats

Citations17
Published2003
Admission routes1
Has abstractyes

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