Evidence map›Paper›PMID 40753168›Full record

ArticleScientific data2025

New Release of User-Captured Images from the Oregon Health & Science University Melanoma MoleMapper Project.

Tracy Petrie, Ravikant Samatham, Dan E Webster, Sancy A Leachman

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. 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

4 authors.

Tracy PetrieOregon Health & Science University, Portland, USA. petrie@ohsu.edu.ORCID 0000-0003-3586-4274
Ravikant SamathamOregon Health & Science University, Portland, USA.ORCID 0000-0002-8318-1809
Dan E WebsterAbbVie Inc., Chicago, USA.
Sancy A LeachmanUniversity of Utah. Work for this study took place at Oregon Health & Science University, Salt Lake City, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We announce the release of the OHSU MoleMapper Smartphone Skin Images dataset which contains over six years of new data acquired from the Oregon Health & Science University's (OHSU) MoleMapper study. This released dataset includes 27,499 mole images curated to exclude images with protected health identifiers, 7,305 images of skin patches near the mole images, 1,000 contextual images, and basic metadata from the participants. This data is available to qualified researchers on Sage Bionetwork's Synapse platform under Synapse ID syn51520810 and represents the largest publicly available dataset of consumer-collected smartphone images of pigmented skin lesions. We release these data to the biomedical research community to enable quantitative analysis of images of non-clinician smartphone photography of skin lesions as well as to better understand what lesions appear concerning to the public. These data are unlabelled but in a machine learning context can be used to pre-train networks using self-supervised learning techniques or to quantitatively analyze the image quality of consumer-collected skin images.

Indexed as

MelanomaSkin NeoplasmsHumansOregonPhotographySmartphone

Identifiers

PMID40753168
PMCPMC12318069

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.