Routine Clinical Data Shown to Build More Accurate Neuroimaging AI Models
Researchers have demonstrated that AI models designed to analyze neuroimaging data perform significantly better when trained on routine health system data rather than traditional curated research datasets. The study, published in Nature Medicine, found that models learning from everyday clinical records captured greater population diversity and produced more generalizable results.