Plain-English translation of NCT07294274 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
This research study aims to build a computer model that can predict which patients who have had a stroke are at risk of developing depression afterward. Researchers will gather information from stroke patients to teach the computer to spot patterns that show depression risk. If successful, this tool could help doctors identify and treat depression much earlier in stroke recovery.
Depression after stroke is very common—affecting up to 6 in 10 stroke patients—and it makes recovery harder, worsens thinking problems, and reduces quality of life for both patients and families. Right now, doctors have no reliable early warning system to spot which patients will develop depression, so by the time it's caught, the damage is already done. This study aims to change that.
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If you join this study, you will be evaluated and followed to see whether you develop depression after your stroke. Researchers will collect information about your stroke, your health history, and your symptoms using standard medical tests and questionnaires. You will be part of one of two groups—patients who do develop depression or those who do not—which helps researchers understand the differences between them.
AI-generated summary from trial data · Jun 4, 2026 · Not medical advice
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