Exploring AI-assisted design of executive function rehabilitation programs for individuals with ADHD: a mixed-methods evaluation of prompts and chatgpt outputs

While clinical experts express cautious optimism about AI-assisted rehabilitation planning, further development is necessary to enhance accuracy, personalization, and feasibility for the safe integration of AI into clinical practice.

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Publication Details

Journal
BMC Psychology
Published
2025-12-05
DOI
https://doi.org/10.1186/s40359-025-03729-2
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring AI-assisted design of executive function rehabilitation programs for individuals with ADHD: a mixed-methods evaluation of prompts and chatgpt outputs

Margherita Dahò, Barbara Caci
BMC Psychology
EEG and Brain-Computer Interfaces
article

Exploring AI-assisted design of executive function rehabilitation programs for individuals with ADHD: a mixed-methods evaluation of prompts and chatgpt outputs

Margherita Dahò, Barbara Caci
article en

Abstract

While clinical experts express cautious optimism about AI-assisted rehabilitation planning, further development is necessary to enhance accuracy, personalization, and feasibility for the safe integration of AI into clinical practice.

BMC PsychologyVol. 14(1)
University of Palermo (IT)
Openalex Percentile: Top 61%
EEG and Brain-Computer Interfaces
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Exploring AI-assisted design of executive function rehabilitation programs for individuals with ADHD: a mixed-methods evaluation of prompts and chatgpt outputs — Margherita Dahò, Barbara Caci · BMC Psychology (2025) | TGRS Research Map | TGRS