Evidence map›Paper›PMID 40720056›Full record

ArticleNeuropsychiatrie : Klinik, Diagnostik, Therapie und Rehabilitation : Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater2025

Artificial intelligence-assisted visual elicitation in anorexia nervosa : Qualitative case studies.

Dimitri Chubinidze, Catherine Perry, Kate Tchanturia

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuropsychiatrie : Klinik, Diagnostik, Therapie und Rehabilitation : Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Dimitri ChubinidzeInstitute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, King's College London, London, UK. Dimitri.Chubinidze@kcl.ac.uk.ORCID http://orcid.org/0000-0003-3253-8991
Catherine PerryDepartment of Eating Disorders, South London and Maudsley NHS Foundation Trust, London, UK.
Kate TchanturiaInstitute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, King's College London, London, UK.

Funding

Engineering and Physical Sciences Research Council (EPSRC), Impact Acceleration Account (IAA) EP/X525571/1MRF_ MRF-CPP-R2-23-102
6 · The paper itself

Abstract

purposeThis study explored the feasibility and therapeutic potential of combining artificial intelligence (AI)-assisted visual elicitation with sensory-attuned guided reflection to support emotional expression and engagement in individuals with anorexia nervosa (AN).

methodsWe conducted a two-session, therapist-led intervention with two adults with restrictive AN. In session 1, we guided participants to reflect on emotionally challenging experiences using metaphor and sensory language cues. We translated these narratives into prompts for DALL·E (v3; OpenAI, San Francisco, CA, USA), an AI image-generation tool. In session 2, participants selected from curated images to reflect on and deepen their exploration of emotional experiences. We analysed the data using reflexive thematic analysis and performed a cross-case synthesis.

resultsVisual metaphors helped to externalise and communicate emotions, evoke embodied responses and refine affective descriptions. The co-creative process fostered therapeutic engagement and a greater sense of agency in both participants.

conclusionAI-assisted visual elicitation, integrated into a structured therapeutic process, may offer an additional benefit to talking therapy for individuals with AN. By enabling visual expression, this approach could support emotional insight and communication in populations with emotion labelling and regulation differences.

Indexed as

Anorexia NervosaArtificial IntelligenceAdultCuesEmotionsFeasibility StudiesFemaleHumansMetaphorQualitative ResearchYoung AdultArtificial intelligence-generated imagesEating disordersEmotion regulationGuided reflectionPhoto elicitationVisual metaphor

Identifiers

PMID40720056
PMCPMC12396974

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.