Globally Inclusive Brain Models Achieve Robust Accuracy Across Diverse Ethnoracial Groups
Writter: Ruiyang Ge (PhD, University of British Columbia) A new study has provided important evidence that brain-imaging-based models can work reliably across ethnoracially diverse populations without requiring separate race-specific training. The findings address a long-standing concern in neuroscience and artificial intelligence about whether brain-based tools developed from large datasets can generalize across different populations. Normative brain models are increasingly used to assess...