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Record W1981233749 · doi:10.1016/j.carj.2012.09.005

Endovascular Therapy for Acute Trauma: A Pictorial Review

2013· review· en· W1981233749 on OpenAlexaff
Anirudh Mirakhur, Richard Cormack, Muneer Eesa, Jason K. Wong

Bibliographic record

VenueCanadian Association of Radiologists Journal · 2013
Typereview
Languageen
FieldMedicine
TopicPelvic and Acetabular Injuries
Canadian institutionsFoothills Medical CentreUniversity of Calgary
Fundersnot available
KeywordsMedicineInterventional radiologySpecialtyComputed tomographyCritically illRadiologyMultidisciplinary approachIntensive care medicineMultidetector computed tomographyPsychological interventionHead traumaMedical physicsSurgeryPathology

Abstract

fetched live from OpenAlex

The traditional role of radiology in the multidisciplinary approach to modern trauma care has been primarily diagnostic and noninvasive. With the advent of more sophisticated and faster imaging equipment, computed tomography has further entrenched its role as the workhorse of trauma imaging. However, the specialty has evolved over the years with various therapeutic techniques now part of the interventional radiology armamentarium. Several of these techniques have become essential for the management of critically ill trauma patients. This article provides an overview of the common imaging findings of vascular and solid organ trauma from head to toe and subsequent endovascular interventions in these critically ill trauma patients.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.717
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.044
GPT teacher head0.349
Teacher spread0.305 · 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.

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

Citations5
Published2013
Admission routes1
Has abstractyes

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