Evidence map›Paper›PMID 40564886›Full record

ArticleDiagnostics (Basel, Switzerland)2025

An Exploration of Discrepant Recalls Between AI and Human Readers of Malignant Lesions in Digital Mammography Screening.

Suzanne L van Winkel, Ioannis Sechopoulos, Alejandro Rodríguez-Ruiz, Wouter J H Veldkamp, Gisella Gennaro, Margarita Chevalier, Thomas H Helbich, Tianyu Zhang, Matthew G Wallis, Ritse M Mann

Abstract read
PubMed Full text at PMC Publisher
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Human-AI interaction in a cancer-enriched double-reading breast screening cohort: diagnostic accuracy and second-reader behavior.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    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

10 authors.

Suzanne L van WinkelRadboudumc-Radboud University Nijmegen Medical Centre, Medical Imaging Department, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, The Netherlands.ORCID 0000-0001-7273-4386
Ioannis SechopoulosRadboudumc-Radboud University Nijmegen Medical Centre, Medical Imaging Department, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, The Netherlands.ORCID 0000-0001-9615-8205
Alejandro Rodríguez-RuizScreenPoint Medical BV, Toernooiveld 300, 6525 EC Nijmegen, The Netherlands.
Wouter J H VeldkampLeiden University Medical Center, Department of Radiology, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
Gisella GennaroVeneto Institute of Oncology (IOV), Department of Imaging and Radiotherapy, Unit of Breast Radiology, IRCCS, via Gattamelata 64, 35128 Padua, Italy.ORCID 0000-0003-2444-1778
Margarita ChevalierDepartment of Radiology and Medical Physics, Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0000-0002-3848-9783
Thomas H HelbichDepartment of Biomedical Imaging and Image-Guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna and General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria.ORCID 0000-0003-3169-778X
Tianyu ZhangRadboudumc-Radboud University Nijmegen Medical Centre, Medical Imaging Department, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, The Netherlands.
Matthew G WallisCambridge Breast Unit and NIHR Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge CB2 2QQ, UK.
Ritse M MannRadboudumc-Radboud University Nijmegen Medical Centre, Medical Imaging Department, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, The Netherlands.

Funding

MARBLE, a collaborative grant from the European Union (EFRO - OP Oost), supporting the sMARt Breast cancer detection with deep LEarning project. N.A.
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencebreast cancer detectiondigital mammographyhuman vs. AI discrepanciesradiologist reader study

Identifiers

PMID40564886
PMCPMC12191860

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.