Evidence map›Paper›PMID 35060413›Full record

ArticleTechnology in cancer research & treatment

Diagnostic Performance of AI for Cancers Registered in A Mammography Screening Program: A Retrospective Analysis.

Inci Kizildag Yirgin, Yilmaz Onat Koyluoglu, Mustafa Ege Seker, Sibel Ozkan Gurdal, Ayse Nilufer Ozaydin, Beyza Ozcinar, Neslihan Cabioğlu, Vahit Ozmen, Erkin Aribal

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% of its field
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Artificial intelligence in mammography: a systematic review of the external validation.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2024
    Pooled it
  2. Review
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  10. Hybrid framework for automated generation of mammography radiology reports.Computational and structural biotechnology journal · 2025
    Article
  11. Article
  12. New Frontiers in Breast Cancer Imaging: The Rise of AI.Bioengineering (Basel, Switzerland) · 2024
    Review
  13. Article
  14. Review
  15. Future of Breast Radiology.European journal of breast health · 2023
    Review
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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

9 authors at 4 institutions in 1 country.

Inci Kizildag YirginOncology Institute, 37516Istanbul University, Istanbul, Turkey.ORCID 0000-0003-0563-5964
Yilmaz Onat Koyluoglu162328Acibadem M.A.A University School of Medicine, Istanbul, Turkey.
Mustafa Ege Seker162328Acibadem M.A.A University School of Medicine, Istanbul, Turkey.ORCID 0000-0001-7664-5786
Sibel Ozkan Gurdal472605Namik Kemal University, School of Medicine, Tekirdag, Turkey.
Ayse Nilufer Ozaydin52982Marmara University, School of Medicine, Istanbul, Turkey.
Beyza Ozcinar64041Istanbul University, School of Medicine, Istanbul, Turkey.
Neslihan Cabioğlu64041Istanbul University, School of Medicine, Istanbul, Turkey.
Vahit Ozmen64041Istanbul University, School of Medicine, Istanbul, Turkey.
Erkin Aribal162328Acibadem M.A.A University School of Medicine, Istanbul, Turkey.
Istanbul University · TRAcıbadem University · TRMarmara University · TRTekirdağ Namık Kemal University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceEarly Detection of CancerMammographyBreast NeoplasmsFemaleHumansImage Processing, Computer-AssistedMass ScreeningPopulation SurveillanceRetrospective StudiesRisk AssessmentRisk FactorsROC CurveTurkeyartificial intelligencebreast cancerdeep learningmammographyscreening

Identifiers

PMID35060413
PMCPMC8796113
OpenAlexW4205711149

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.