Robotic intra-abdominal vasectomy reversal: A new approach to a difficult problem
Bibliographic record
Abstract
The management of obstructive azoospermia resulting from intra-abdominal vasal obstruction poses a formidable surgical challenge. A number of surgical methods have been described to address this problem, including both open and laparoscopic approaches to mobilize and sometimes even re-route the abdominal vas deferens prior to performing a re-anastamosis. We present the first report, to our knowledge, of robotic intra-abdominal vasectomy reversal used to repair obstructive azoospermia resulting from prior laparoscopic vasectomy. In doing so, we summarize the techniques described previously in the literature and build upon this body of surgical experience by combining robotic-assisted laparoscopic mobilization of the vas with robotic vasovasostomy. We believe this novel approach for repairing intra-abdominal vasal defects minimizes morbidity, while at the same time obviating the need for the operating microscope, and thus represents a practical alternative to existing techniques.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".