Ambidextrous Sonographic Scanning to Reduce Sonographer Repetitive Strain Injury
Bibliographic record
Abstract
Many sonographers experience work-related repetitive strain injury (RSI). The primary objective of this study was to investigate the feasibility and possible techniques of training sonographers who exclusively hold the transducer in the same hand to become ambidextrous as a method to reduce RSI. Five cardiac and three vascular right-handed sonographers were observed and videotaped while they performed right- and left-handed examinations. The sonographers also filled out pre- and post-session questionnaires. This study found that all the sonographers experienced RSI from scanning exclusively with their dominant hand and that they were willing to learn to perform scanning with their nondominant hand. However, aids and methods to help train sonographers to perform scanning with their nondominant hand would be required, such as arm supports, scheduling practice sessions, and demonstration of proper scanning techniques using the nondominant hand. The secondary objective of this study was to determine the diagnostic and image quality of sonograms acquired with the nondominant hand. A blinded review of the resultant sonograms found that the diagnostic and image quality of the sonograms acquired with the left and right hands were comparable.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".