MétaCan
Menu
Back to cohort
Record W1965313388 · doi:10.1097/aco.0b013e32835afd40

Basic concepts in the use of thoracic and lung ultrasound

2012· review· en· W1965313388 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Opinion in Anaesthesiology · 2012
Typereview
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsMontreal Heart InstituteHôpital du Sacré-Cœur de MontréalUniversité de Montréal
Fundersnot available
KeywordsMedicinePneumothoraxUltrasoundAnesthesiologyLung ultrasoundRadiologyIntensive care medicineLungPleural effusionMedical physicsPathologyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Recent advances were made in the field of point-of-care ultrasound (POCUS). Thoracic and lung ultrasound have become a rapid and accurate method of diagnosis of hypoxic diseases. The purpose of this article is to review the recent literature on POCUS, emphasizing on its use in the operating room. RECENT FINDINGS: Many international critical care societies published guidelines on the use of ultrasound in the installation of central venous access. More recently, evidenced-based guidelines on the use of POC lung ultrasound were published. Lung ultrasound has shown its superiority over conventional chest radiography in the diagnosis of many disorders of significant importance in anesthesiology, particularly the pneumothorax. SUMMARY: POC thoracic and lung ultrasound is used in many critical medicine fields. The aim of this review is to describe the basic lung ultrasound technique and the knowledge required in order to diagnose and treat the hypoxic patient. Emphasis is on disorder such as pleural effusion, alveolar interstitial disease, as well as pneumothorax, which is of particular importance in the field of anesthesiology.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.977
Threshold uncertainty score0.784

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.339
GPT teacher head0.510
Teacher spread0.170 · 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