ArticleJournal of clinical medicine2025
SPOT-Cardio: Integrated Application for AI-Powered Automated Myocardial Scar Quantification on Joint Bright- and Black-Blood Late Gadolinium Enhancement MRI Images.
Kun He, Edouard Gerbaud, Thaïs Génisson, Victor de Villedon de Naide, Théo Richard, Kalvin Narceau, Mathilde Merle, Maxime Sermesant, Matthias Stuber, Hubert Cochet and 1 more
Abstract read
In one paragraphArticle in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
11 authors.
Kun HeIHU LIRYC, Heart Rhythm Disease Institute, Hôpital Xavier Arnozan, Université de Bordeaux-INSERM U1045, Avenue du Haut Lévêque, 33604 Pessac, France.ORCID 0009-0008-3481-8499 Edouard GerbaudIHU LIRYC, Heart Rhythm Disease Institute, Hôpital Xavier Arnozan, Université de Bordeaux-INSERM U1045, Avenue du Haut Lévêque, 33604 Pessac, France.ORCID 0000-0003-4669-3562 Thaïs GénissonIHU LIRYC, Heart Rhythm Disease Institute, Hôpital Xavier Arnozan, Université de Bordeaux-INSERM U1045, Avenue du Haut Lévêque, 33604 Pessac, France.ORCID 0009-0008-3661-6356 Victor de Villedon de NaideIHU LIRYC, Heart Rhythm Disease Institute, Hôpital Xavier Arnozan, Université de Bordeaux-INSERM U1045, Avenue du Haut Lévêque, 33604 Pessac, France.
Théo RichardIHU LIRYC, Heart Rhythm Disease Institute, Hôpital Xavier Arnozan, Université de Bordeaux-INSERM U1045, Avenue du Haut Lévêque, 33604 Pessac, France.ORCID 0009-0007-6616-5384 Kalvin NarceauIHU LIRYC, Heart Rhythm Disease Institute, Hôpital Xavier Arnozan, Université de Bordeaux-INSERM U1045, Avenue du Haut Lévêque, 33604 Pessac, France.ORCID 0009-0005-7919-0023 Mathilde MerleIHU LIRYC, Heart Rhythm Disease Institute, Hôpital Xavier Arnozan, Université de Bordeaux-INSERM U1045, Avenue du Haut Lévêque, 33604 Pessac, France.
Maxime SermesantIHU LIRYC, Heart Rhythm Disease Institute, Hôpital Xavier Arnozan, Université de Bordeaux-INSERM U1045, Avenue du Haut Lévêque, 33604 Pessac, France.ORCID 0000-0002-6256-8350 Matthias StuberIHU LIRYC, Heart Rhythm Disease Institute, Hôpital Xavier Arnozan, Université de Bordeaux-INSERM U1045, Avenue du Haut Lévêque, 33604 Pessac, France.
Hubert CochetIHU LIRYC, Heart Rhythm Disease Institute, Hôpital Xavier Arnozan, Université de Bordeaux-INSERM U1045, Avenue du Haut Lévêque, 33604 Pessac, France.
Aurélien BustinIHU LIRYC, Heart Rhythm Disease Institute, Hôpital Xavier Arnozan, Université de Bordeaux-INSERM U1045, Avenue du Haut Lévêque, 33604 Pessac, France.ORCID 0000-0002-2845-8617 Funding
Agence Nationale de la Recherche ANR-11-EQPX-0030European Research Council 101076351
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
artificial intelligenceautomated diagnosiscardiac MRIcardiovascular diseaseimage segmentationmedical imaging softwaremyocardial scar
Identifiers
PMID41375730
PMCPMC12693332
What OpenQuestion holds
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