Machine Learning & Artificial Intelligence

Background

Multimodal AI has the potential to capture the complexity of biomedical and behavioral systems and improve clinical decision‑making, but realizing this promise requires new innovations in data fusion, model training, evaluation, and application. Ethical considerations—including privacy, fairness, accountability, and transparency—must be integrated throughout the entire lifecycle, from data selection and preparation to model deployment, with careful attention to stakeholder needs.