Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: The purpose of this study was to present strategies for performing computer-enhanced telesurgery in the morbidly obese patient. METHODS: This was a prospective, institutional review board-approved, descriptive feasibility study (Canadian Task Force classification II-2) conducted at a university-affiliated hospital. Twelve class III morbidly obese women with a body mass index of 40 kg/m(2) or greater were selected to undergo robotic-assisted total laparoscopic hysterectomy. Robotic-assisted total laparoscopic hysterectomy, classified as type IVE, with complete detachment of the cardinal-uterosacral ligament complex, unilateral or bilateral, with entry into the vagina was performed. RESULTS: The median estimated blood loss was 146.3 mL (range, 15-550 mL), the mean length of stay in the hospital was 25.3 hours (range, 23- 48 hours), and the complication rate was 0%. The rate of conversion to laparotomy was 8%. The median surgical time was 109.6 minutes (range, 99 -145 minutes). CONCLUSION: Robotic-assisted total laparoscopic hysterectomy can be a safe and effective method of performing hysterectomies in select morbidly obese patients, allowing them the opportunity to undergo minimally invasive surgery without increased perioperative complications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".