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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.
#CognitiveAssessment#AI#DisabilityProgression#RemoteMonitoringRelevant to Neurologist, DataScientist
View abstract on PubMedPMID 42789556AI summary of a published abstract. Not medical advice.