Integrating AI in Stroke Neurorehabilitation

Last updated: August 22, 2025
Sponsor: Eodyne Systems SL
Overall Status: Active - Not Recruiting

Phase

N/A

Condition

Cerebral Ischemia

Stroke

Treatment

AI-personalized virtual reality rehabilitation system for unsupervised home-based stroke therapy

Clinical Study ID

NCT07138495
AISN-2025
  • Ages > 18
  • All Genders

Study Summary

The AISN multicenter randomized controlled trial will assess the effectiveness of a novel artificial intelligence (AI)-based clinical decision-support system integrated into the Rehabilitation Gaming System (RGS) for home-based post-stroke rehabilitation. Approximately 192 participants ≥6 months post-stroke will be recruited across several European centers and assigned to one of three groups: RGS with AI decision support, RGS without AI, or standard care. The primary outcome is upper limb motor improvement for stroke patients, with secondary measures including cognitive function, independence, quality of life, usability, cost-effectiveness, and AI-based support performance.

Eligibility Criteria

Inclusion

Inclusion Criteria

  • ≥ 6 months post-stroke

  • Patients presenting a first-ever ischemic or intracerebral hemorrhagic stroke

  • Mild to Moderate unilateral upper limb motor impairment: Medical Research Council proximal and distal upper limb MRC ≥2; Action Research Arm Test: ARAT score < 50 (0 = no function, 57 = no functional limitation).

  • Age > 18 years old

  • Able to sit on a chair or a wheelchair and interact with RGS during an entire session

  • Minimal experience with smartphone technology based on the clinician's opinion

  • Willing to participate in the RGS therapy

  • Sign the Informed Consent Form

Exclusion Criteria

  • Diagnosis with Epilepsy

  • Severe cognitive capabilities preventing the execution of the experiment or according to clinicians' criteria.

  • Severe associated impairment such as proximal but not distal spasticity, communication disabilities (sensory, Wernicke aphasia or apraxia), major pain (VAS > 75-100 mm), orthopedic devices that would interfere with the correct execution of the experiment (Modified Ashworth Scale > 3)

  • Unable to use the RGS app independently according to the clinician's observations and lacking support from a caregiver to use the RGS app

  • No experience with smartphone technology or based on the clinician's opinion.

  • Refusal to sign the Informed Consent

  • Participating or planning to participate in another trial while being part of the present study.

Study Design

Total Participants: 192
Treatment Group(s): 1
Primary Treatment: AI-personalized virtual reality rehabilitation system for unsupervised home-based stroke therapy
Phase:
Study Start date:
September 15, 2025
Estimated Completion Date:
December 30, 2026

Study Description

The AISN study addresses the gap in long-term, personalized stroke rehabilitation after hospital discharge by evaluating an enhanced digital therapy platform that combines the clinically validated Rehabilitation Gaming System (RGS) with a newly developed AI-based decision-support module. This AI component analyzes patient performance data to provide clinicians with diagnostic and prognostic insights, along with tailored exercise prescriptions.

The trial's key innovation is the formal validation of the AI module in real-world clinical settings, assessing its concordance with clinician decisions, predictive accuracy, and contribution to patient outcomes.

Participants will be randomized into three groups:

RGS+AI: Home-based RGS therapy with AI-driven recommendations for clinicians. RGS-AI: Home-based RGS therapy without AI support. Control: Standard rehabilitation care. The intervention phase will last 12 weeks, with daily home training for experimental groups, and follow-up at 20 weeks. In addition to standard clinical endpoints, the study will include predefined AI validation metrics, focusing on its potential as a certified medical device tool for scalable, personalized rehabilitation delivery.

Connect with a study center

  • CHU de Limoges

    Limoges,
    France

    Site Not Available

  • CHU de Limoges

    Limoges 2998286,
    France

    Site Not Available

  • San Camillo Hospital, IRCCS

    Venice, Veneto 30126
    Italy

    Site Not Available

  • San Camillo Hospital, IRCCS

    Venice 3164603, Veneto 3164604 30126
    Italy

    Site Not Available

  • UMF

    Cluj-Napoca,
    Romania

    Site Not Available

  • UMF

    Cluj-Napoca 681290,
    Romania

    Site Not Available

  • Parc Sanitari Sant Joan de Deu (SJDD)

    Barcelona,
    Spain

    Site Not Available

  • Parc Sanitari Sant Joan de Deu (SJDD)

    Barcelona 3128760,
    Spain

    Site Not Available

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