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Record W287808344

Portable 3D/4D Ultrasound Diagnostic Imaging System

2010· article· en· W287808344 on OpenAlexaboutno aff
Stergios Stergiopoulos, Pang N. Shek

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectrical and Bioimpedance Tomography
Canadian institutionsnot available
Fundersnot available
KeywordsTriageMedical imagingComputer scienceUltrasound imagingUltrasoundArtificial intelligenceMedical physicsMedicineMedical emergencyRadiology
DOInot available

Abstract

fetched live from OpenAlex

Abstract : The rapid diagnosis of invisible internal injury in an austere and hostile front-line operational environment remains a challenge for (Canadian Forces) medical and search and rescue personnel. The availability of a portable 4D-ultrasound imaging system with a single probe, providing high image resolution and deep penetration, is considered by (civilian) medical practitioners and their military health services counterparts as exceedingly helpful, if not essential in supporting triage and medical decisions to save lives. However, portable and easy-to-use 4D non-invasive medical imaging systems are not yet commercially available, primarily because of unresolved major technological and engineering challenges. Available portable ultrasound systems only provide 2D images, requiring a medical professional to mentally integrate multiple images to develop a 3D impression of the scanned objects. This practice is time-consuming, inefficient, and requires a highly skilled operator to administer the scanning procedure. Defence RD A portable ultrasound computing architecture consisting of a cluster of DSPs and CPUs

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.002
GPT teacher head0.160
Teacher spread0.158 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

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