Evidence map›Paper›PMID 41211488›Full record

ArticleIndian journal of psychiatry2025

Beyond Google Images: Crafting impactful images for presentations or clinical use with AI.

Shahul Ameen

Abstract read
In one paragraph

Article in Indian journal of psychiatry, 2025. 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

1 author.

Shahul AmeenDepartment of Psychiatry, St. Thomas Hospital, Changanacherry, Kerala, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In presentations for teaching, research, or public education purposes, well-chosen images enhance focus, reflection, and memory retention. AI tools help create images that are culturally sensitive and inclusive and depict abstract or complex psychiatric scenarios. AI images should be clear, audience-tailored, and complementary to text and verbal explanations. Clear, detailed prompts ensure alignment with the intended vision and stylistic consistency across images. Addressing variables such as style, mood, and color helps create unique, compelling images. AI images can also be helpful in psychoeducation and psychotherapy, as they can be customized to the patient's demographics and symptoms and can be quickly created during a consultation. They would especially benefit patients with low literacy. This article describes the leading AI image-generation tools, offers practical guidance on image creation and effective prompt strategies, and provides example prompts. It also discusses the limitations of current models and ethical considerations. Together, these insights support educators, researchers, and clinicians in using AI images responsibly and creatively to enrich their presentations and patient care.

Indexed as

Artificial intelligenceimagesposterspresentationspsychosocial interventions

Identifiers

PMID41211488
PMCPMC12594065

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.