ArticleCureus2025
ChatGPT and Occupational Therapy: A Study of Generated Program Feasibility.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Generative AI and Large Language Models in Rehabilitation: A Scoping Review.Life (Basel, Switzerland) · 2026Review
- What the performance of multimodal LLMs on a national licensing exam teaches us about occupational therapy education.BMC medical education · 2026Article
- Exploring AI-assisted design of executive function rehabilitation programs for individuals with ADHD: a mixed-methods evaluation of prompts and chatgpt outputs.BMC psychology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction As the application of large language models (LLMs) in the medical field advances, the potential for creating occupational therapy (OT) programs remains unexplored. This study aimed to clarify the ability of Generative Pre-trained Transformer (GPT; OpenAI, San Francisco, CA, USA) to create OT programs. Methods Based on five case reports of patients with stroke and concomitant psychological symptoms, GPT was instructed to create OT programs. Five occupational therapists (OTRs) evaluated the generated programs and quantified the degree of agreement with the programs created by OTRs. Results The programs generated by GPT showed a low degree of agreement with the programs created by OTRs in all cases, with a rating of two points or less. The content was found to be general, lacking in specificity and individuality, and insufficiently specialized. The scores for all programs generated by GPT were 2/4 or lower. Discussion While GPT has difficulty creating OT programs based on patients' life backgrounds and specialized knowledge, it showed the potential to be used in some processes of OT program creation. This is likely due to a lack of pretraining and limitations in information.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.