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Record W2078071525 · doi:10.1002/rcs.210

Pre‐clinical remote telesurgery trial of a da Vinci telesurgery prototype

2008· article· en· W2078071525 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Medical Robotics and Computer Assisted Surgery · 2008
Typearticle
Languageen
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutionsVancouver General Hospital
Fundersnot available
KeywordsTelemedicineComputer scienceMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: The objective of this study was to perform a pre-clinical remote telesurgery trial of a da Vinci telesurgery prototype on a surgical-grade virtual private network. METHODS: A da Vinci telesurgery-enabled prototype was used to conduct surgical trials across a 17 MB/s bandwidth VPNe network spanning 2848 km round-trip landline distance from London, Ontario, to Halifax, Nova Scotia, Canada. The outcomes measured during the trial were surgical times and quality of anastomoses. RESULTS: Network configuration resulted in observed latencies of 370 ms with 140 ms due to transport delay. The da Vinci telesurgery prototype performed well subjectively and average porcine pyeloplasty anastomotic times were 20.7 +/- 4.7 min. CONCLUSIONS: This work constitutes an early evaluation of the da Vinci telesurgery prototype for conceptually remote telesurgical operations. This study clearly demonstrated the feasibility of remote telesurgery using the da Vinci platform to perform a complex surgical task.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.834
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.104
GPT teacher head0.377
Teacher spread0.274 · 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