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Record W1984142292 · doi:10.1159/000048358

Robot-Assisted Endoscopic Intrauterine Myelomeningocele Repair: A Feasibility Study

2002· article· en· W1984142292 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePediatric Neurosurgery · 2002
Typearticle
Languageen
FieldMedicine
TopicSpinal Dysraphism and Malformations
Canadian institutionsPediatric Oncology Group
FundersIntuitive SurgicalVanderbilt University
KeywordsMedicineSurgeryLesionSpinal cord injuryFetal surgeryEndoscopyFetusSpinal cordPregnancyIn utero

Abstract

fetched live from OpenAlex

BACKGROUND: Animal experiments have suggested that the intrauterine environment causes secondary injury to the congenitally dysplastic spinal cord. This in turn suggests that early closure of the myelomeningocele sac might prevent secondary injury and therefore improve neurologic outcome. This study was designed to examine the technical feasibility of performing intrauterine myelomeningocele repair using a robot-assisted endoscopic system in an animal model. METHODS: Six fetal sheep underwent creation and repair of a full-thickness skin lesion using the da Vinci system. RESULTS: With the device's advanced articulated instruments and three-dimensional optics, it was possible to endoscopically repair the induced skin defects. CONCLUSION: We conclude that, with the recent evolution in robotics and minimally invasive techniques, intrauterine endoscopic surgery has become a realistic goal that promises to reduce the associated risks of fetal surgery and extend the indications for its use.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.881

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.061
GPT teacher head0.285
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it