Evidence map›Paper›PMID 41467088›Full record

ArticleThe British journal of occupational therapy2026

Artificial intelligence in occupational therapy: Comparing ChatGPT and occupational therapist approaches in assessment and intervention.

Yusuf Değerli, Medine Nur Özata Değerli, Sinem Kars

Abstract read
In one paragraph

Article in The British journal of occupational therapy, 2026. 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. Review
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.

Yusuf DeğerliTherapy and Rehabilitation Program, Ankara University, Ankara, Turkiye.
Medine Nur Özata DeğerliOccupational Therapy Department, Hacettepe University, Ankara, Turkiye.ORCID https://orcid.org/0000-0003-4776-3892
Sinem KarsOccupational Therapy Department, Hacettepe University, Ankara, Turkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Artificial intelligence is playing an increasingly important role in supporting rehabilitation processes, offering benefits for both clients and therapists. This study aimed to explore the potential use of ChatGPT-an AI-powered online chatbot-in occupational therapy using clinical case scenarios and to compare the clinical decision-making approaches of ChatGPT and occupational therapists. Method: This study employed a comparative design to evaluate the clinical decision-making skills of ChatGPT and occupational therapists. A total of 111 occupational therapists and ChatGPT responded to 9 questions related to 3 different cases, including items on models and frames of reference, assessment, and intervention. Results: ChatGPT and occupational therapists demonstrated similar decision-making in one case for models and frames of reference, one case for assessments, and one case for interventions ( Conclusion: These findings underscore artificial intelligence's promising yet complex role in occupational therapy, highlighting how occupational therapists integrate multiple factors and individual client needs into their decision-making, in contrast to the algorithm-based reasoning of ChatGPT.

Indexed as

artificial intelligencechatGPTclinical reasoningevaluationinterventionoccupational therapy

Identifiers

PMID41467088
PMCPMC12743896

What OpenQuestion holds

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Registered trials

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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.