Evidence map›Paper›PMID 42317845›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2026

A Framework for Cross-Domain Generalization in Coronary Artery Calcium Scoring Across Gated and Non-Gated Computed Tomography.

Mahmut S Gokmen, Moneera N Haque, Steve W Leung, Caroline N Leach, Seth Parker, Stephen B Hobbs, Mary E Oates, Vincent L Sorrell, W Brent Seales, V K Cody Bumgardner

Abstract read
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In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Mahmut S GokmenCenter for Applied AI, University of Kentucky, Lexington, KY.
Moneera N HaqueDepartment of Medicine, Division of Cardiovascular Medicine and the Gill Heart and Vascular Institute, University of Kentucky, Lexington, KY.
Steve W LeungDepartment of Radiology, College of Medicine, University of Kentucky, Lexington, KY.
Caroline N LeachCenter for Applied AI, University of Kentucky, Lexington, KY.
Seth ParkerEduceLab, University of Kentucky, Lexington, KY.
Stephen B HobbsDepartment of Radiology, College of Medicine, University of Kentucky, Lexington, KY.
Mary E OatesDepartment of Medicine, Division of Cardiovascular Medicine and the Gill Heart and Vascular Institute, University of Kentucky, Lexington, KY.
Vincent L SorrellDepartment of Medicine, Division of Cardiovascular Medicine and the Gill Heart and Vascular Institute, University of Kentucky, Lexington, KY.
W Brent SealesEduceLab, University of Kentucky, Lexington, KY.
V K Cody BumgardnerCenter for Applied AI, University of Kentucky, Lexington, KY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery calcium (CAC) scoring is a key predictor of cardiovascular risk, but relies on ECG-gated CT scans, restricting its use to specialized cardiac imaging settings. We introduce an automated framework for CAC detection and lesion-specific Agatston scoring that works across gated and non-gated CT scans. At its core is

Identifiers

PMID42317845
PMCPMC13274280

What Socratic holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.