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Record W4402829201 · doi:10.1016/j.mcna.2024.08.006

Intestinal Ultrasound in Common Gastrointestinal Disorders

2024· review· en· W4402829201 on OpenAlexaff
Kevin Piro, Irene Ma, Hamid Shokoohi, Kerri L. Novak

Bibliographic record

VenueMedical Clinics of North America · 2024
Typereview
Languageen
FieldMedicine
TopicAppendicitis Diagnosis and Management
Canadian institutionsCalgary General HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicineDiverticulitisUltrasoundAppendicitisInflammatory bowel diseaseBowel obstructionIntensive care medicineRadiologyDiseaseGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

Patients with abdominal symptoms are among the most common to present both urgently and non-urgently for medical evaluation. While intestinal ultrasound (IUS) is useful to aid management of these patients, it is not routinely taught, performed, or included as part of the core set of point-of-care ultrasound competencies. The authors present an approach to performing a systematic, but focused, IUS at the bedside and diagnostic accuracies for small bowel obstruction inflammatory bowel disease, appendicitis, and diverticulitis. An approach on how to integrate IUS findings and common pitfalls will also be discussed.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.965
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.391
Teacher spread0.352 · 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 designOther design
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

Citations2
Published2024
Admission routes1
Has abstractyes

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