A Structured Review of Deep Learning Approaches and Image-Preprocessing Techniques for Automated Contact Allergy Patch Test Interpretation.

Dominyka Stragyte, Gvidas Mikalauskas, Katrina Gaidulevic, Renata Paukstaitiene, Kestutis Stasaitis, Vidas Raudonis, Skaidra Valiukeviciene

Abstract readReview

PubMed Full text at PMC Publisher

In one paragraph

Review in Medical sciences (Basel, Switzerland), 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

7 authors.

Dominyka StragyteFaculty of Medicine, Medical Academy, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania.

Gvidas MikalauskasDepartment of Skin and Venereal Diseases, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania.ORCID 0009-0003-5878-651X

Katrina GaidulevicDepartment of Skin and Venereal Diseases, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania.

Renata PaukstaitieneDepartment of Physics, Mathematics and Biophysics, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania.ORCID 0000-0002-3827-0984

Kestutis StasaitisDepartment of Emergency Medicine, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania.

Vidas RaudonisAutomation Department, Faculty of Electrical and Electronics Engineering, Kaunas University of Technology, LT-51368 Kaunas, Lithuania.

Skaidra ValiukevicieneFaculty of Medicine, Medical Academy, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Deep LearningDermatitis, Allergic ContactImage Processing, Computer-AssistedPatch TestsAlgorithmsArtificial IntelligenceConvolutional Neural NetworksHumansallergic contact dermatitisartificial intelligencecontact dermatitisconvolutional neural networkdeep learningmachine learningpatch test

Identifiers

PMID42346861

DOI10.3390/medsci14020322

PMCPMC13303153

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.