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Record W3135347275 · doi:10.1002/pd.5926

A novel “video‐game” simulator for training fetoscopic laser coagulation of anastomoses in twin‐to‐twin transfusion syndrome

2021· article· en· W3135347275 on OpenAlexaff
Rory Windrim, Alexander Baldwin Young, Francis LeBouthillier, Greg Ryan, Tim Van Mieghem, Nimrah Abbasi, Johannes Keunen, Rohan D’Souza, Julia Kfouri

Bibliographic record

VenuePrenatal Diagnosis · 2021
Typearticle
Languageen
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutionsOntario College of Art and DesignCommunications and Information Technology OntarioUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsFetoscopyTwin-to-twin transfusion syndromeComputer scienceSimulationLaser coagulationInteractivityMedicineSurgeryMultimediaPregnancyFetus

Abstract

fetched live from OpenAlex

: We have developed a high-fidelity interactive "video-game" simulator in order to teach fetoscopic laser ablation of placental anastomoses for twin-twin transfusion syndrome This simulator may be used by teachers in order to provide metrics-based simulator education to multiple trainees, in both hands-on and distanced learning settings WHAT IS ALREADY KNOWN ABOUT THIS TOPIC?: The use of simulation improves training of the fetoscopic laser techniques utilized in the treatment of twin-twin transfusion syndrome A number of mannequins have been developed to aid this education WHAT DOES THIS STUDY ADD?: Two new simulators are described for twin-twin transfusion syndrome training-silicone and digital The digital simulator is a novel digital video game virtual format This new format has enhanced interactivity and has the potential to enable distance learning.

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 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)0.001
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 score0.337
Threshold uncertainty score0.659

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.054
GPT teacher head0.319
Teacher spread0.265 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations4
Published2021
Admission routes1
Has abstractyes

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