Maintaining Forward View of the Surgical Site for Best Endoscopic Practice
Bibliographic record
Abstract
Endoscopic surgery performed through patients' natural orifices (NOTES procedures) often require some degree of retroflexion of the operating system. This can cause a misalignment between the displayed image and the actual work plane, leading to performance difficulties. This study investigated the impact of retroflexion on task performance in a simulated environment. Surgeons were required to perform an aiming and pointing task under two experimental conditions: forward-view vs. retroflexed-view. Results showed that both expert and novice surgeons required significantly longer time for completing the task when the scope was retroflexed, compared to when the scope faced forwards. Results address the importance of careful selection of the surgical approach to avoid image retroflexion. Further analysis revealed that the novices were more vulnerable than experts to image distortion with the retroflexed view. This addresses the necessity for surgeons to go through extensive endoscopic training to overcome the visual-motor challenges before they can perform NOTES procedures safely and effectively.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".