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AI picks the right therapy for Stroke-Linked reading loss

NCT ID NCT07209488

Recruiting now Knowledge-focused Sponsor: Rutgers, The State University of New Jersey Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tests whether a computer model can predict which reading treatment works best for people who developed dyslexia after a stroke. Twelve participants will each try two different therapies—phonomotor treatment and semantic feature analysis—for 60 hours each. The goal is to see if the model's recommended therapy leads to better reading improvement.

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Conditions

The condition(s) this trial relates to.

alexia stroke disorder

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

DYSLEXIA, ACQUIRED STROKE

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Florida State University

    RECRUITING

    Tallahassee, Florida, 32306, United States

    Contact Phone: •••-•••-•••• Email: •••••@•••••

  • Johns Hopkins University School of Medicine

    RECRUITING

    Baltimore, Maryland, 21287, United States

    Contact Phone: •••-•••-•••• Email: •••••@•••••

  • Kessler Foundation

    RECRUITING

    West Orange, New Jersey, 07052, United States

    Contact Phone: •••-•••-•••• Email: •••••@•••••

More trials for these conditions

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