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Record W2920423530 · doi:10.1097/pec.0000000000001762

Ocular Point-of-Care Ultrasound in the Pediatric Emergency Department

2019· article· en· W2920423530 on OpenAlexaff
Jade Séguin, Cathie‐Kim Le, Jason W. Fischer, Mark O. Tessaro, Ron Berant

Bibliographic record

VenuePediatric Emergency Care · 2019
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsMcGill UniversitySickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsMedicinePoint of care ultrasoundUltrasoundPoint of careEmergency departmentOptometryOphthalmologyEmergency medicineRadiologyPathologyNursing

Abstract

fetched live from OpenAlex

OBJECTIVE: Point-of-care ultrasound has become an important adjunct for diagnostic assessment in pediatric emergency medicine. In this case series, we demonstrate how ocular point-of-care ultrasound is used to correctly diagnose ocular pathologies and to expedite care. METHODS/RESULTS: We present a series of cases in which the point-of-care ultrasound ocular examination proved valuable in the timely diagnosis of pathologies involving the lens, vitreous, retina, and retrobulbar segment of the eye. CONCLUSION: Point-of-care ultrasound may facilitate diagnosis in children with ocular complaints, even in young and uncooperative patients, and should be considered in children of all ages.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.015
GPT teacher head0.313
Teacher spread0.297 · 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 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

Citations10
Published2019
Admission routes1
Has abstractyes

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