Survey of the training and use of echocardiography and lung ultrasound in Australasian intensive care units
Bibliographic record
Abstract
Transthoracic echocardiography (TTE) and focused cardiac ultrasound (FCU) are now considered essential skills and a requirement of training for physicians working in the intensive care unit (ICU) [ 1 ]. TTE is a feasible and safer alternative to transoesophageal echocardiography (TOE), even after cardiac surgery [ 2 ]. Acquiring competency in TTE during an already over-full curriculum is a challenge. Furthermore, lung ultrasound (LU) is becoming established for bedside diagnosis of acute respiratory pathology [ 3 ]. The current level of practice and training in TTE, TOE and LU in ICU is not yet reported. We surveyed the 114 ICUs accredited for ICU training in Australasia to determine the current prevalence of practice and training in TTE, TOE, and LU and to identify perceived obstacles in practice and training. After ethics approval, a web-based survey of 14 Multiple Choice Questions was submitted to the Directors of ICU accredited for training.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".