SIU-ICUD: Advances in Surgical Technique of Robotic Prostatectomy
Bibliographic record
Abstract
Background/Objectives: Innovations in robotic prostatectomy have transformed a highly morbid operation to a procedure with fewer complications and shorter hospital stays, yet techniques continue to evolve. Our objective is to discuss the most recent advances in robotic prostatectomy techniques designed to minimize morbidity related to urinary incontinence and erectile dysfunction. Methods: This review is adapted from a comprehensive committee chapter on published in the 3rd WUOF/SIU (World Urologic Oncology Federation/Société Internationale d’Urologie) International Consultation on Urologic Diseases on Localized Prostate Cancer. Results: This review article describes both traditional and emerging techniques in robotic prostatectomy techniques and discusses their respective outcomes. Conclusions: Improved understanding of pelvic anatomy has enabled robotic-assisted techniques to preserve key structures and enhance recovery and functional outcomes while preserving oncologic safety
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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".