Eye-Tracking AI may spot MS severity without needles
NCT ID NCT06283524
First seen Apr 03, 2026 · Last updated May 12, 2026 · Updated 6 times
Summary
This study involved 200 adults with multiple sclerosis (MS) who completed eye-tracking tasks. Researchers used the data to train computer programs to identify which eye-movement patterns best reflect MS severity and thinking abilities. The goal was to develop a non-invasive, easy-to-use tool for monitoring MS in the clinic.
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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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Locations
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Genge Partners, Inc.
Montreal, Quebec, H4A 3T4, Canada
Conditions
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