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Record W2772093759 · doi:10.1093/ehjci/jex312

Applications of cardiac computed tomography in electrophysiology intervention

2017· review· en· W2772093759 on OpenAlex
Stephen Liddy, Una Buckley, Hong Kuan Kok, B Loo, Benedict M. Glover, Gurmohan Dhillon, Orla Buckley

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

VenueEuropean Heart Journal - Cardiovascular Imaging · 2017
Typereview
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineAtrial fibrillationPulmonary veinCardiac electrophysiologyCardiologyThrombusRadiologyInternal medicineCardiac imagingPercutaneousStenosisCardiac resynchronization therapyOcclusionHeart failureElectrophysiologyEjection fraction

Abstract

fetched live from OpenAlex

Cardiac electrophysiology is an evolving specialty that has seen rapid advances in recent years. Concurrently, there has been much progress in the field of cardiac imaging. Electrophysiologists are increasingly requesting cross-sectional imaging in advance of many procedures. Pulmonary vein isolation and left atrial appendage (LAA) occlusion are now an established treatment options for atrial fibrillation. In patients undergoing pulmonary vein isolation, applications of computed tomography (CT) include evaluating the left atrial and pulmonary venous anatomy, excluding LAA thrombus and assessing for pulmonary vein stenosis. In those undergoing LAA occlusion, CT may be of value in assessing the size, position, and morphology of the LAA as well as for determining correct positioning of the device and evaluating for peri-device leak. Implantable cardiac devices are now commonly used in the management of cardiac failure and cardiac arrhythmias. Applications of CT prior to device implantation include detecting myocardial scar, evaluating for mechanical dyssynchrony as well as visualising the coronary venous anatomy.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.008
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.093
GPT teacher head0.386
Teacher spread0.293 · 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