Evidence map›Paper›PMID 42540047›Full record

ArticleSkin health and disease2026

Trial of novel image-enhancement software to assist medical students in identifying dermoscopic features of melanoma.

Stuart Farmer, Simone Harrison, Jeremy Hudson, Nichole Harvey, Oyelola Adegboye, Clare Heal

Abstract read
In one paragraph

Article in Skin health and disease, 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

6 authors.

Stuart FarmerSkin Institute, Auckland, New Zealand.ORCID https://orcid.org/0000-0003-3823-5123
Simone HarrisonCollege of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia.ORCID https://orcid.org/0000-0001-5309-0773
Jeremy HudsonCollege of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia.ORCID https://orcid.org/0000-0001-5725-515X
Nichole HarveyCollege of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia.
Oyelola AdegboyeCollege of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia.ORCID https://orcid.org/0000-0002-9793-8024
Clare HealCollege of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia.ORCID https://orcid.org/0000-0002-5041-2666

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early detection of melanoma is central to reducing the disease-related burden. The dermatoscope is used by skin cancer clinicians to help identify features of melanoma in a skin lesion. Features can be subtle and identification can be a challenge for early dermoscopists. Objectives: To investigate the utility of novel image-enhancement software as a possible aid for beginner dermoscopists in identifying melanoma features. The software had previously been developed for optometry for the diagnosis and monitoring of anterior eye conditions. Methods: Following an introductory lecture on dermoscopy, third-year medical students at James Cook University were asked to complete a 10-lesion test set of dermoscopic images on benign lesions and cutaneous melanoma (CM). Students scored the presence or absence of some melanoma-related features (asymmetry, blue-grey colour, atypical network) and made a diagnosis for a standard image and then for the matching enhanced image. Results: In total, 61 students participated. Total performance scores did not differ significantly between standard and enhanced images of the benign lesions. However, students correctly identified CM-related features (blue-grey colour Conclusions: The image-enhancement software shows promise in assisting beginner dermoscopists in identifying some features of melanoma and could be tested with more advanced dermoscopists along with a wider range of dermoscopic features. The software could potentially be made widely and cheaply available in the form of a mobile phone application or be incorporated into an existing image-management platform.

Identifiers

PMID42540047
PMCPMC13425008

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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.