Explainable Artificial Intelligence to Predict Neurocognitive Disorder Progression in Multiple Sclerosis Using MRI and Clinical Data.

Although tabular data did not reach statistical significance in any of the binary logistic regression models, β values were used to interpret the direction of the correlations.

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Interestingly, patients treated with DMTs of varying efficacy showed a trend towards increased risk of cognitive decline, which might reflect confounding by indication or the presence of more aggressive disease phenotypes necessitating earlier or more effective treatments.

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