Surgeon and Assistant Point of View Simultaneous Video Recording
Bibliographic record
Abstract
Video recording has become a very common practice in surgery and is one of the paramount methods to teach proper surgical techniques. Traditionally it has been limited by a variety of factors including cost, the need for constant camera reposition, and the use of external photographers, which is both costly and labor-intensive. We describe the use of dual modified point of view (POV) GoPro head mounted cameras to record synchronized POV surgery for the purpose of training surgical assistants. POV cameras are inexpensive, easy to use and manipulate. The GoPro camera was mounted using a head strap on both the surgeon's and surgical assistant's head, providing different optimal views. We used the GoPro Hero4 Silver for the surgeon and the GoPro Hero3+ Black Edition for the assistant. The lens used was optimized for our purposes. With the modified camera for the primary surgeon, the magnification was satisfactory in recording of fine details, and provided a usable depth of field and field of view. We found that using two synchronized POV GoPro head mounted cameras was an innovative way to record otolaryngology surgery and provided excellent video footage which can be used for the education of both surgeons and surgical assistants.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".