Research: Does the Addition of Ultrasound Enhance Cardiac Anatomy Learning in Undergraduate Medical Education?
Bibliographic record
Abstract
With the advent of portable hand-held ultrasound units, the use of point of care ultrasound (POCUS) has become increasingly popular amongst a wide array of medical specialists for both diagnostic and therapeutic interventions. Canada-wide surveys demonstrate a desire for increased utilization of POCUS in primary medical education. In this study, we aim to assess the efficacy of an ultrasound based anatomy tutorial and the perspectives of a cohort of first year medical students at Queen’s University. Students were recruited, randomized to pre or post-test analysis, and provided with a supplementary lecture on cardiac anatomy utilizing echocardiography studies. In this study, we were unable to demonstrate a difference between understanding of basic cardiac anatomy between groups. However, we were able to report the opinions and perspectives of a small cohort of first year medical students at Queen’s University, illustrating a desire for increased exposure and training towards cardiac POCUS in primary medical education. Further evidence is required to delineate the true value of these experiences.
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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 | 0.020 | 0.072 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".