Evidence map›Paper›PMID 40361933›Full record

ArticleDiagnostics (Basel, Switzerland)2025

A Comparison of Skin Lesions' Diagnoses Between AI-Based Image Classification, an Expert Dermatologist, and a Non-Expert.

Lior Mevorach, Alessio Farcomeni, Giovanni Pellacani, Carmen Cantisani

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Demographic Reporting and the Absence of Hispanic/Latino Representation in Dermatology Artificial Intelligence: A Scoping Review.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2026
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  4. Review
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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

4 authors.

Lior MevorachDermatology Unit, Department of Clinical Internal Anesthesiological and Cardiovascular Sciences, "Sapienza" University of Rome, 00161 Rome, Italy.ORCID 0000-0003-0544-6186
Alessio FarcomeniFaculty of Economics, Tor Vergata University of Rome, 00133 Roma, Italy.ORCID 0000-0002-7104-5826
Giovanni PellacaniDermatology Unit, Department of Clinical Internal Anesthesiological and Cardiovascular Sciences, "Sapienza" University of Rome, 00161 Rome, Italy.ORCID 0000-0002-7222-2951
Carmen CantisaniDermatology Unit, Department of Clinical Internal Anesthesiological and Cardiovascular Sciences, "Sapienza" University of Rome, 00161 Rome, Italy.ORCID 0000-0003-2181-951X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AI-based classificationdermatologydiagnostic accuracyimage recognitionmachine learningskin lesions

Identifiers

PMID40361933
PMCPMC12071753

What OpenQuestion holds

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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.