Artificial intelligence is reshaping every aspect of health and well-being—from early prevention to day-to-day self-care. Our research advances this shift on three cutting-edge fronts: multimodal AI, resilient AI, and foundation models. By blending diverse data streams with resilient architectures, we bring forward the research in AI for health and well-being, trying to bridge the gap between cutting-edge computation and real-world health services, paving the way for next-generation AI that supports individuals, clinicians, and public-health systems alike.

Next-Gen Health: from Multimodal AI to Foundation Models

Sicilia R.;Guarrasi V.;
2025-01-01

Abstract

Artificial intelligence is reshaping every aspect of health and well-being—from early prevention to day-to-day self-care. Our research advances this shift on three cutting-edge fronts: multimodal AI, resilient AI, and foundation models. By blending diverse data streams with resilient architectures, we bring forward the research in AI for health and well-being, trying to bridge the gap between cutting-edge computation and real-world health services, paving the way for next-generation AI that supports individuals, clinicians, and public-health systems alike.
2025
Artificial Intelligence
Medical Foundation Models
Multimodal Learning
Resilient AI
Stress Detection
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14245/19658
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