Related Experiment Video
Updated: Jan 17, 2026

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
Published on: September 1, 2023
An exploration of the use of artificial intelligence to supplement activity performance in acquired brain injury: a
Bláthnaid McDonagh1, Brian O'Neill2, Sinéad Hynes1
1School of occupational therapy, University of Galway, Galway, Ireland.
Abstract:
Assistive technology in neurorehabilitation has the potential to reduce caregiver burden, care costs and increase individual autonomy. This study aimed to investigate the feasibility and efficacy of a voice-controlled artificial intelligence application (Smart Steps AI) in supporting the occupational performance of domestic activities of daily living in persons with an acquired brain injury. This study adopted a single participant, ABA introduction/withdrawal single case experimental design. A sequence performance scale was developed to assess the target behaviour. The Behavioural Rating Scale for Executive Function - Adult Informant Report Form was used a control measure. The Kettle Test was used as a generalisability measure. A learning effect was observed across the phases. Smart Steps AI showed limited therapeutic impact with the participant and requires further refinement before broader implementation. This study is the first known study of its kind to use artificial intelligence to supplement occupational performance following a brain injury. This study is considered a pilot project and future research should attempt to replicate the study.
More Related Videos
06:11Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
Published on: April 18, 2025
06:11High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
Published on: September 26, 2025