Evidence map›Paper›PMID 41079391›Full record

ArticleJAAD international2025

Diagnostic performance of multimodal large language models in distinguishing melanoma from nevi in clinical and dermoscopic images.

Mehdi Boostani, Aimilios Lallas, Mohamad Goldust, Nóra Nádudvari, Kende Lőrincz, András Bánvölgyi, Péter Holló, Norbert M Wikonkál, Gyorgy Paragh, Norbert Kiss

Abstract read
In one paragraph

Article in JAAD international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Review
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  9. Dermoscopy-guided high-frequency ultrasound: Principles and applications in dermatology.JID innovations : skin science from molecules to population health · 2026
    Article
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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

10 authors.

Mehdi BoostaniDepartment of Dermatology, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Aimilios LallasFirst Department of Dermatology and Venereology, Faculty of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Mohamad GoldustDepartment of Dermatology, Yale University School of Medicine, New Haven, Connecticut.
Nóra NádudvariDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Budapest, Hungary.
Kende LőrinczDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Budapest, Hungary.
András BánvölgyiDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Budapest, Hungary.
Péter HollóDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Budapest, Hungary.
Norbert M WikonkálDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Budapest, Hungary.
Gyorgy ParaghDepartment of Dermatology, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Norbert KissDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencechatgptgeminilarge language modelmelanomanaevus

Identifiers

PMID41079391
PMCPMC12510231

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.