Evidence map›Paper›PMID 42512295›Full record

ArticleCancers2026

Deep Learning for Early Breast Cancer Detection on Contrast-Enhanced Breast MRI: A Multicenter Study.

Na Young Jung, Jihe Lim, Hyug-Gi Kim, Sung Hun Kim, Bobae Choi, Bo La Yun, Ga Eun Park, Jang-Hoon Oh, Bo Kyoung Seo, Min Sun Bae

Abstract read
In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Na Young JungDepartment of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 03312, Republic of Korea.ORCID 0000-0001-6128-5669
Jihe LimDepartment of Radiology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong 18450, Republic of Korea.ORCID 0000-0001-9658-831X
Hyug-Gi KimDepartment of Radiology, Kyung Hee University Hospital, Seoul 02447, Republic of Korea.
Sung Hun KimDepartment of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.ORCID 0000-0003-4478-9720
Bobae ChoiDepartment of Radiology, Chungnam National University Hospital, Daejeon 35015, Republic of Korea.
Bo La YunDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Republic of Korea.
Ga Eun ParkDepartment of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Jang-Hoon OhDepartment of Radiology, Kyung Hee University Hospital, Seoul 02447, Republic of Korea.ORCID 0000-0002-4251-5470
Bo Kyoung SeoDepartment of Radiology, Korea University Ansan Hospital, Ansan 15355, Republic of Korea.ORCID 0000-0002-9512-5361
Min Sun BaeDepartment of Radiology, Korea University Ansan Hospital, Ansan 15355, Republic of Korea.ORCID 0000-0002-1971-3428

Funding

Korea University K2327511National Research Foundation of Korea RS-2024-00361049The Korean Society of Breast Imaging and the Korean Society for Breast Screening KSBI&KSFBS-2020-02
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencebreastcarcinomadeep learningmagnetic resonance imaging

Identifiers

PMID42512295
PMCPMC13406529

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.