Evidence map›Paper›PMID 41150677›Full record

ArticlePLOS digital health2025

Medical Imaging Data Calls for a Thoughtful and Collaborative Approach to Data Governance.

Aline Lutz de Araujo, Jie Wu, Hugh Harvey, Matthew P Lungren, Mackenzie Graham, Tim Leiner, Martin J Willemink

Abstract read
In one paragraph

Article in PLOS digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Aline Lutz de AraujoSegmed, Inc, Palo Alto, California, United States of America.ORCID https://orcid.org/0000-0002-6009-1069
Jie WuSegmed, Inc, Palo Alto, California, United States of America.
Hugh HarveyHardian Health, Haywards Heath, United Kingdom.
Matthew P LungrenMicrosoft, Redmond, Washington, United States of America.
Mackenzie GrahamEthox Centre University of Oxford, Oxford, United Kingdom.
Tim LeinerDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, United States of America.
Martin J WilleminkSegmed, Inc, Palo Alto, California, United States of America.ORCID https://orcid.org/0000-0002-6991-6557

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of medical imaging data is indispensable for medical advancements such as the development of new diagnostic tools, improved surgical navigation systems, and profiling for personalized medicine through imaging biomarkers. A central challenge in data governance is balancing the need to protect patient privacy with the necessity of promoting scientific innovation. Restrictive data governance policies could limit access to the large, high-quality datasets needed for such advancements. Conversely, lenient policies could compromise patient trust and lead to potential misuse of sensitive information. We call for a deliberate and well-considered approach to data governance, highlighting important factors that patients and healthcare organizations should consider when making imaging data governance decisions around data sharing.

Identifiers

PMID41150677
PMCPMC12561909

What OpenQuestion 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 OpenQuestion graph.