AI picks the right therapy for Stroke-Linked reading loss
NCT ID NCT07209488
First seen Nov 01, 2025
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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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Florida State University
RECRUITINGTallahassee, Florida, 32306, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Johns Hopkins University School of Medicine
RECRUITINGBaltimore, Maryland, 21287, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Kessler Foundation
RECRUITINGWest Orange, New Jersey, 07052, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.