Evidence map›Paper›PMID 40237600›Full record

ArticleRadiology. Artificial intelligence2025

The BraTS-Africa Dataset: Expanding the Brain Tumor Segmentation Data to Capture African Populations.

Maruf Adewole, Jeffrey D Rudie, Anu Gbadamosi, Dong Zhang, Confidence Raymond, James Ajigbotoshso, Oluyemisi Toyobo, Kenneth Aguh, Olubukola Omidiji, Rachel Akinola and 17 more

Abstract read
In one paragraph

Article in Radiology. Artificial intelligence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Improving Pre-trained Adult Glioma Segmentation Models using only Post-processing Techniques.Segmentation, classification, and synthesis for brain tumors and traumatic brain injuries : MICCAI 2025 Challenges: BraTS-Lighthouse 2025 and AIMS-TBI 2025, held in conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025,... · 2026
    Article
  6. Review
  7. 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

27 authors.

Maruf AdewoleMedical Artificial Intelligence Laboratory (MAI Lab), Lagos, Nigeria.ORCID 0000-0002-6562-2834
Jeffrey D RudieDepartment of Radiology, University of California, San Diego, San Diego, Calif.ORCID 0000-0001-8609-8421
Anu GbadamosiMedical Artificial Intelligence Laboratory (MAI Lab), Lagos, Nigeria.ORCID 0000-0003-2032-7839
Dong ZhangMedical Artificial Intelligence Laboratory (MAI Lab), Lagos, Nigeria.ORCID 0000-0002-2948-1384
Confidence RaymondMedical Artificial Intelligence Laboratory (MAI Lab), Lagos, Nigeria.ORCID 0000-0003-3927-9697
James AjigbotoshsoMedical Artificial Intelligence Laboratory (MAI Lab), Lagos, Nigeria.ORCID 0009-0002-3515-4854
Oluyemisi ToyoboMedical Artificial Intelligence Laboratory (MAI Lab), Lagos, Nigeria.
Kenneth AguhFederal Medical Centre, Umuahia, Nigeria.
Olubukola OmidijiCollege of Medicine, University of Lagos, Lagos, Nigeria.
Rachel AkinolaLagos State University Teaching Hospital (LASUTH), Ikeja, Nigeria.
Mohammad Abba SuwaidNSIA-Kano Diagnostic Centre, Kano, Nigeria.ORCID 0000-0003-2821-0213
Adaobi EmegoakorNnamdi Azikiwe University Teaching Hospital, Nnewi, Nigeria.ORCID 0009-0008-2874-6708
Nancy OjoFederal Medical Centre, Abeokuta, Nigeria.ORCID 0009-0002-8240-5847
Chinasa KalaiwoNational Hospital Abuja, Abuja, Nigeria.ORCID 0000-0002-7325-1607
Gabriel BabatundeLagos University Teaching Hospital (LUTH), Lagos, Nigeria.
Afolabi OgunleyeLagos State University Teaching Hospital (LASUTH), Ikeja, Nigeria.ORCID 0009-0001-3270-7735
Yewande GbadamosiLagos State University Teaching Hospital (LASUTH), Ikeja, Nigeria.ORCID 0009-0002-7058-4905
Kator IorpagherBenue State University Teaching Hospital, Markurdi, Nigeria.
Mayomi OnuwajeLily Hospital, Benin, Nigeria.ORCID 0009-0006-9704-9469
Bamidele BetikuLily Hospital, Benin, Nigeria.ORCID 0009-0006-3807-3450
Jasmine CakmakMontreal Neurological Institute, McGill University, 3801 Rue University, Montreal, QC, Canada H3A 2B4.ORCID 0000-0002-5197-234X
Björn MenzeQuantitative Biomedicine, University of Zurich, Zurich, Switzerland.ORCID 0000-0003-4136-5690
Ujjwal BaidDepartment of Pathology and Laboratory Medicine, Indiana University, Indianapolis, Ind.
Spyridon BakasDepartment of Pathology and Laboratory Medicine, Indiana University, Indianapolis, Ind.ORCID 0000-0001-8734-6482
Farouk DakoDepartment of Radiology, University of Pennsylvania, Philadelphia, Pa.ORCID 0000-0003-4765-9358
Abiodun FatadeMedical Artificial Intelligence Laboratory (MAI Lab), Lagos, Nigeria.
Udunna C AnazodoMedical Artificial Intelligence Laboratory (MAI Lab), Lagos, Nigeria.ORCID 0000-0001-8864-035X

Funding

The Federated Tumor Segmentation (FeTS) platform: An intuitive tool facilitating secure multi-institutional collaborationU01CA242871 · NCI · UNIVERSITY OF PENNSYLVANIA · PI BAKAS, SPYRIDON · 2019 to 2021
$1.1M
NCI NIH HHS U01 CA242871
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AccessibilityAfricaBrain/Brain StemBrain TumorCNSComputer Applications–3DDiagnosisEquityImage SegmentationMachine LearningMRIMR ImagingNeuro-OncologySegmentation

Identifiers

PMID40237600
PMCPMC12319694

What OpenQuestion holds

Textmetadata
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.