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Strategies for integrating artificial intelligence and cognitive assessment to predict disability progression in relapsing-remitting multiple sclerosis

A study developed an AI model called MS-TranSurv to predict disability progression in relapsing-remitting multiple sclerosis (RRMS) using cognitive assessment data. It achieved a C-index of 0.61 and tAUROC of 0.74, indicating slightly better performance compared to traditional models, especially when using individual test-level data.

What this does not proveThe study does not establish any therapeutic efficacy or definitive patient outcomes, as the focus is strictly on prediction capabilities.
View abstract on PubMedPMID 42789556AI summary of a published abstract. Not medical advice.