Patient experience and psychologists' attitudes toward AI in psychological treatment: A topic-modeling study.

Jón Ingi Hlynsson, Kristofer Vernmark, Catharina Lutovsky, Gerhard Andersson, Per Carlbring

Abstract read

In one paragraph

Article in Internet interventions, 2026. 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

5 authors.

Jón Ingi HlynssonDepartment of Psychology, Stockholm University, Stockholm, Sweden.

Kristofer VernmarkDepartment of Behavioural Sciences and Learning (IBL), Linköping University, Linköping, Sweden.

Catharina LutovskyDepartment of Psychology, Stockholm University, Stockholm, Sweden.

Gerhard AnderssonDepartment of Behavioural Sciences and Learning (IBL), Linköping University, Linköping, Sweden.

Per CarlbringDepartment of Psychology, Stockholm University, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Generative artificial intelligence (AI) is entering psychological treatment, yet research remains dominated by symptom outcome trials, leaving two questions under-researched: how patients experience AI therapy tools, and how psychologists regard the AI applications they may be asked to adopt. We applied topic modeling (Latent Dirichlet Allocation) to two Swedish-language corpora to contrast lived use with anticipated use. The first corpus comprised interview data from 11 patients who had engaged with a conversational AI assistant in the treatment of social anxiety disorder. The second comprised 1551 open-ended survey responses from 808 psychologists (licensed psychologists, psychologists in clinical internship, and psychology master's students) with analyzable text for at least one of two scenarios: 1) a psychologist's "

Indexed as

Artificial intelligencePatient experiencePsychologist attitudesPsychotherapySocial anxiety disorderTopic modelingVirtual patients

Identifiers

PMID42840561

DOI10.1016/j.invent.2026.100999

PMCPMC13639969

What OpenQuestion holds

Textmetadata

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.