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Neuroimaging‐based artificial intelligence for predicting dementia progression in a diverse real‐world memory clinic cohort
0
Zitationen
5
Autoren
2025
Jahr
Abstract
Models trained on large, research cohorts are effective at predicting progression to dementia for real-world NHS patients, despite differences in the sample characteristics. p<sub>AD</sub> was significant at estimating time-to-diagnosis, with a 0.1 increase in p<sub>AD</sub> equating to a 13.6%-16.7% increased risk of receiving a dementia diagnosis within 8 years. These findings demonstrate the clinical utility of generalisable artificial intelligence models in a real-world context.
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