Evidence map›Paper›PMID 40519984›Full record

ArticleFrontiers in rehabilitation sciences2025

Harnessing AI for aphasia: a case report on ChatGPT's role in supporting written expression.

Avery K Allen, Christine Brennan, Christina Riseman, Holly Kleiber, Allison I Hilger

Abstract readCase Reports
In one paragraph

Article in Frontiers in rehabilitation sciences, 2025. 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.

Avery K AllenDepartment of Speech, Language, and Hearing Sciences, University of Colorado Boulder, Boulder, CO, United States.
Christine BrennanDepartment of Speech, Language, and Hearing Sciences, University of Colorado Boulder, Boulder, CO, United States.
Christina RisemanDepartment of Speech, Language, and Hearing Sciences, University of Colorado Boulder, Boulder, CO, United States.
Holly KleiberDepartment of Speech, Language, and Hearing Sciences, University of Colorado Boulder, Boulder, CO, United States.
Allison I HilgerDepartment of Speech, Language, and Hearing Sciences, University of Colorado Boulder, Boulder, CO, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Aphasia is associated with impairments in written language, including difficulty with sentence formulation, word finding, and editing. While writing aids show promise, artificial intelligence (AI) tools, such as large language models (LLMs), offer new opportunities for individuals with language-based writing challenges. Methods: This case report describes the use of the LLM, ChatGPT, to improve accuracy, complexity, and productivity in an adult with aphasia. The intervention combined self-genrated content with AI-assisted editing, guided by a visual flow char and structured prompts. Writing samples were analyzed for sentence count, complexity, and errors, while the patient's attitudes toward writing were evaluated through surveys. Results: When using ChatGPT, the patient produced more sentences with fewer errors, while self-written samples showed reduced total errors but decreased sentence production and increased sentence length and syntactic complexity. Although the patient required clinician prompting and modeling to use ChatGPT effectively, he developed greater independence and confidence over time. One year later, he reported continued use of ChatGPT for creative and communicative tasks. Discussion: This case highlights how AI tools can enhance written communication and promote participation in meaningful activities for individuals with aphasia, especially those with prior experience using technology.

Indexed as

aphasiaartificial intelligenceassistive technologyChatGPTlanguage learning modelwritten language rehabilitation

Identifiers

PMID40519984
PMCPMC12163031

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.