How advanced AI reshapes imaging, aging, and mental health care

This cluster spotlights cutting-edge medical AI research spanning imaging, aging, and psychiatry. New work on federated learning and travelling models promises stronger performance while preserving privacy and supporting digital health equity across institutions. Foundation models are being adapted for medical image interpretation to overcome data scarcity and generalization gaps, while imaging-based organ-specific aging clocks emerge as powerful predictors of disease risk and mortality. Alongside, large-scale psychiatry articles—including trends in medical stimulant use—illustrate how digital and computational methods are increasingly central to understanding and managing mental health at population scale.