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Record W2061988385 · doi:10.3109/13645706.2013.823451

The past, present and future of minimally invasive endoscopy in gynecology: A review and speculative outlook

2013· review· en· W2061988385 on OpenAlexaff
Liselotte Mettler, Lotte Clevin, Artin Ternamian, Shailesh Puntambekar, Thoralf Schollmeyer, İbrahim Alkatout

Bibliographic record

VenueMinimally Invasive Therapy & Allied Technologies · 2013
Typereview
Languageen
FieldMedicine
TopicMinimally Invasive Surgical Techniques
Canadian institutionsUniversity of TorontoSt Joseph's Health Centre
FundersSociety of Gynecologic Surgeons
KeywordsMedicineInvasive surgeryQuality (philosophy)Engineering ethicsGeneral surgerySurgeryEngineering

Abstract

fetched live from OpenAlex

Over the last twenty-five years, minimally invasive surgery (MIS) has evolved in a relatively short period of time to overtake the centuries-old visionary and pioneering groundwork of our outstanding colleagues in all surgical disciplines. This overview on the development of gynecological endoscopy, at the invitation of SMIT, highlights past achievements and describes present challenges. It emphasizes future opportunities and possibilities to foster interdisciplinary collaboration and integrate emerging endoscopic, imaging and stereotactic surgical technologies to improve patient safety, enhance quality of care and advance surgical education. This article will introduce younger colleagues to the exciting world of contemporary gynecologic endoscopy and help them appreciate the immense technology-laden opportunities that the future holds for those who are prepared to follow in the footsteps and aspirations of our founding surgical colleagues.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0000.001
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.046
GPT teacher head0.328
Teacher spread0.282 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations37
Published2013
Admission routes1
Has abstractyes

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