Education in the Time of COVID: At-a-Distance Training in Neuromusculoskeletal Ultrasonography
Bibliographic record
Abstract
Point of care ultrasound is important to the specialty of physical medicine and rehabilitation (PM&R) to aid in the diagnosis and treatment of a variety of neuromusculoskeletal conditions commonly seen in practice. However, across Canada, resident education of sonoanatomy skills is variable. There remain no standards in terms of how ultrasound is taught as part of the residency curriculum as set by the Royal College of Physicians and Surgeons of Canada. As such, residents are often required to find their own educational opportunities. This report describes an alternative approach to learning these skills that was inspired by disruption due to coronavirus disease 2019 in first year residency. This report explores how a PM&R resident was able to develop valuable ultrasound skills from home using not only textbooks and videos, but also new and novel teleguidance technology, namely an ultrasound probe that connects to a clinician's own smart devices to display images.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".