Evidence map›Paper›PMID 40310373›Full record

ArticleDiagnostics (Basel, Switzerland)2025

A Multimodal Deep Learning Model for the Classification of Breast Cancer Subtypes.

Chaima Ben Rabah, Aamenah Sattar, Ahmed Ibrahim, Ahmed Serag

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Integrating deep learning and radiomics for precise identification of luminal A/B breast cancer subtypes on dynamic contrast-enhanced MRI.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
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

4 authors.

Chaima Ben RabahAI Innovation Lab, Weill Cornell Medicine, Doha 24144, Qatar.ORCID 0000-0003-4153-3287
Aamenah SattarDepartment of Medicine, New Vision University, 0159 Tbilisi, Georgia.ORCID 0000-0001-5149-9954
Ahmed IbrahimAI Innovation Lab, Weill Cornell Medicine, Doha 24144, Qatar.ORCID 0009-0002-9217-4173
Ahmed SeragAI Innovation Lab, Weill Cornell Medicine, Doha 24144, Qatar.ORCID 0000-0002-4145-5509

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencebreast cancerdeep learningmolecular subtype classificationmultimodalpersonalized medicine

Identifiers

PMID40310373
PMCPMC12025686

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.