Evidence map›Paper›PMID 39857091›Full record

ArticleDiagnostics (Basel, Switzerland)2025

Deep Transfer Learning for Classification of Late Gadolinium Enhancement Cardiac MRI Images into Myocardial Infarction, Myocarditis, and Healthy Classes: Comparison with Subjective Visual Evaluation.

Amani Ben Khalifa, Manel Mili, Mezri Maatouk, Asma Ben Abdallah, Mabrouk Abdellali, Sofiene Gaied, Azza Ben Ali, Yassir Lahouel, Mohamed Hedi Bedoui, Ahmed Zrig

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
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.

Amani Ben KhalifaTechnology and Medical Imaging Laboratory LR12ES06, Faculty of Medicine of Monastir, University of Monastir, Monastir 5019, Tunisia.
Manel MiliTechnology and Medical Imaging Laboratory LR12ES06, Faculty of Medicine of Monastir, University of Monastir, Monastir 5019, Tunisia.ORCID 0000-0003-3892-8579
Mezri MaatoukLR18-SP08 Department of Radiology, University Hospital of Monastir, Monastir 5019, Tunisia.ORCID 0000-0002-9108-1509
Asma Ben AbdallahTechnology and Medical Imaging Laboratory LR12ES06, Faculty of Medicine of Monastir, University of Monastir, Monastir 5019, Tunisia.
Mabrouk AbdellaliLR18-SP08 Department of Radiology, University Hospital of Monastir, Monastir 5019, Tunisia.
Sofiene GaiedLR18-SP08 Department of Radiology, University Hospital of Monastir, Monastir 5019, Tunisia.
Azza Ben AliLR18-SP08 Department of Radiology, University Hospital of Monastir, Monastir 5019, Tunisia.
Yassir LahouelLR18-SP08 Department of Radiology, University Hospital of Monastir, Monastir 5019, Tunisia.ORCID 0000-0002-2354-7397
Mohamed Hedi BedouiTechnology and Medical Imaging Laboratory LR12ES06, Faculty of Medicine of Monastir, University of Monastir, Monastir 5019, Tunisia.
Ahmed ZrigLR18-SP08 Department of Radiology, University Hospital of Monastir, Monastir 5019, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

deep learningmyocardial infarctionmyocarditisVGG16

Identifiers

PMID39857091
PMCPMC11765457

What OpenQuestion holds

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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 OpenQuestion graph.