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Record W4409664120 · doi:10.1016/j.jcct.2025.04.008

Key advances in cardiac computed tomography: A review of the most relevant studies published in 2024 on coronary and structural heart disease

2025· review· en· W4409664120 on OpenAlexaff
Pablo M. Rubio, Héctor M. García‐García, Abdulhamied Alfaddagh, Daniele Andreini, Andrea Baggiano, Arzu Canan, Marcus Y. Chen, Benjamin J.W. Chow, Anjali Chelliah, C Dececco, Timothy Fairbairn, Maros Ferencik, Cristina Fuss, Heidi Gransar, Ashraf Hamdan, Bin Han, Brian Ko, Jonathan Leipsic, Nidhi Madan, Florian Michallek, Saima Mushtaq, Prashant Nagpal, Ming‐Yen Ng, Edward Nicol, Hiroyuki Niinuma, Gianluca Pontone, Amir Pourmorteza, Anna Reid, Jonathan Weir‐McCall, Seamus P. Whelton, Michelle C. Williams, Jeannie Yu, Armin Arbab‐Zadeh

Bibliographic record

VenueJournal of cardiovascular computed tomography · 2025
Typereview
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsUniversity of British ColumbiaUniversity of Ottawa
Fundersnot available
KeywordsMedicineCoronary artery diseaseCardiac imagingRadiologyClinical PracticeComputed tomographyCardiologyMedical physicsInternal medicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.573
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0080.009
Bibliometrics0.0020.005
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.013
GPT teacher head0.298
Teacher spread0.285 · 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 designSystematic review
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

Citations3
Published2025
Admission routes1
Has abstractno

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