Evidence map›Paper›PMID 40776397›Full record

ArticleHealth communication2026

Portrayal of Cancer Patients in the Era of AI: A Content Analysis of Images Produced by Generative AI Tools.

Wen-Ying Sylvia Chou, Anna Gaysynsky, Nicole Senft Everson, Abigail Muro, Kristin Schrader, Irina Iles

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Health communication, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Wen-Ying Sylvia ChouHealth Communication and Informatics Research Branch, National Cancer Institute.ORCID 0000-0002-9140-6094
Anna GaysynskyHealth Communication and Informatics Research Branch, National Cancer Institute.ORCID 0000-0001-5612-5572
Nicole Senft EversonHealth Communication and Informatics Research Branch, National Cancer Institute.ORCID 0000-0002-3617-7276
Abigail MuroHealth Communication and Informatics Research Branch, National Cancer Institute.
Kristin SchraderPublic Health Practice, Westat.
Irina IlesHealth Communication and Informatics Research Branch, National Cancer Institute.ORCID 0000-0002-9348-1012

Funding

Intramural NIH HHS Z99 CA999999NCI NIH HHS HHSN261201800002BNCI NIH HHS HHSN261201800002C
6 · The paper itself

Abstract

This study sought to characterize images of cancer patients generated by Artificial Intelligence (AI) text-to-image tools, and assess whether images differed by cancer type or AI tool, to elucidate the potential implications of using AI-generated images in health communication. Two generative AI-based tools,

Indexed as

Artificial IntelligenceHealth CommunicationNeoplasmsAdultAgedBreast NeoplasmsFemaleHumansLung NeoplasmsMaleMiddle AgedProstatic Neoplasms

Identifiers

PMID40776397
PMCPMC12671007

What OpenQuestion holds

Textmetadata
LicenceTDM
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.