Virtual Reality Simulator for Training on Surgery Ergonomics Skills
Why this work is in the frame
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Bibliographic record
Abstract
This work focuses on ergonomics skills based on Virtual Reality (VR) training simulator for spine surgery. The proposed system used the Head Mounted Display (HMD) device for monitoring and data collection. The aim of the project was to provide a training approach for residents that would enable them to acquire the proper ergonomic skills needed while performing spine surgery. A VR training simulator has been designed and implemented to measure two ergonomic skills required that need to be maintained during any surgery. The two components were neck’s angle and table’s height. The experiments showed that the users are usually focused on their work and tend to pay less attention to their body’s position and movements. This can result in a wrong ergonomics setup, which leads to musculoskeletal pain. Thus, the users (residents) need to be trained to have good ergonomics positions. The proposed system measured this using a specific metric that collected head positions, angles, elbow height, and other parameters. The designed model was a VR simulator for neurosurgical education in particular; however, it might be good for some other similar surgeries. The study concluded that incorporating simulations into residents’ training and simulated surgeries can strengthen the surgeons’ skills and outcomes. As a result, both residents and expert surgeons can benefit from the use of the developed model.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it