Microembolic signals (MES) is a powerful predictor of future embolic events. This study aims to develop and validate a accurate model of classification of MES obtained by transcranial Doppler. monitoring of However, MES detection is technically demanding and requires expert interpretation. By providing a reproducible framework for MES interpretation, this work aims to facilitate MES integration into future clinical trials and decision-making.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Classification of each signal as MES or Non-MES
Timeframe: From enrollment until December of 2026