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Can stereoscopic technologies build better surgeons? The effects of stereoscopy and spatial visualization ability on laparoscopic performance in surgical residents (536.12)

2014· article· en· W2124493552 on OpenAlexaffabout
Arjun Maini, Victoria A. Roach, Stephen E. Pautler, Timothy D. Wilson

Bibliographic record

VenueThe FASEB Journal · 2014
Typearticle
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsWestern University
Fundersnot available
KeywordsStereoscopyTask (project management)VisualizationDreyfus model of skill acquisitionLaparoscopic surgeryCurriculumMedicineModality (human–computer interaction)PsychologyMedical educationApplied psychologyLaparoscopyComputer scienceHuman–computer interactionSurgeryArtificial intelligenceEngineeringPedagogy

Abstract

fetched live from OpenAlex

Acquisition of surgical skill is a multifaceted process, in which practice, and innate human factors such as spatial visualization ability (Vz) play key roles. Elevated Vz (HVz) is thought to facilitate surgical skill acquisition. The benefit of viewing laparoscopic skills in stereo (3D) is undetermined in experienced populations, and may show differing effects between those of variable Vz. The Vz of surgical residents will be evaluated using a Mental Rotations Test, and then surgical skill will be measured via the McGill Inanimate System for Training and Evaluation of Laparoscopic Skills (MISTELS). Participants will complete the MISTELS tasks in both 3D and monoscopic format (2D) while being randomly assigned to complete the task in either 2D first or 3D first. Scoring of the MISTELS is based on time, completion and efficiency. It is hypothesized that HVz individuals will score higher than LVz counterparts. Prior research in novice subjects suggests that the effects of 3D and 2D viewing yields variable results based on an individual’s Vz, such that LVz trainees may benefit more than HVz from 3D viewing after a period of experience. If 3D viewing enhances surgical skill in our subjects, it may suggest future use in laparoscopic training curricula. Comparison of current results with those of novice subjects may suggest the intervening effects of experience on the effect of Vz and/or viewing modality.

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)0.001
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 score0.371
Threshold uncertainty score0.294

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.006
GPT teacher head0.229
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

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

Citations0
Published2014
Admission routes2
Has abstractyes

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