Evidence map›Paper›PMID 41426734›Full record

ArticleCureus2025

Acral Melanosis with Macromelanosomes (AMM): The First AI-Defined Pathological Entity and Proposal of Provisional Diagnostic Criteria.

Igor Shendrik, Svetlana Bobkova

Abstract readCase Reports
In one paragraph

Article in Cureus, 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

2 authors.

Igor ShendrikDermatopathology Section, Pathology Laboratory Associates, Tulsa, USA.
Svetlana BobkovaSchool of Biomedical Sciences, Oklahoma State University Center for Health Sciences, Tulsa, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) has started to transform diagnostic workflows in pathology, yet no formal pathological entity has been named, defined, and documented in the medical literature by an AI system. We report a benign acral pigmentary process characterized by conspicuous keratinocyte macromelanosomes with otherwise normal melanocyte density and architecture. We propose the term "acral melanosis with macromelanosomes (AMM)," a name and construct first generated with the assistance of a large language model (ChatGPT), and we present clinical, histologic, and special‑stain findings along with provisional diagnostic criteria.

Indexed as

acral skinartificial intelligencechatgptfontana‑massonmacromelanosomesmelan-amelanosissox10

Identifiers

PMID41426734
PMCPMC12716952

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.