Next-Gen Health: from Multimodal AI to Foundation Models

Rosa Sicilia; Fatih Aksu; Alessandro Bria; Alice Natalina Caragliano; Camillo Maria Caruso; Ermanno Cordelli; Arianna Francesconi; Valerio Guarrasi; Giulio Iannello; Guido Manni; Massimiliano Mantegna; Giustino Marino; Daniele Molino; Elena Mulero Ayllón; Filippo Ruffini; Linlin Shen; Matteo Tortora; Paolo Soda

Next-Gen Health: from Multimodal AI to Foundation Models

Rosa Sicilia^*
, Fatih Aksu
, Alessandro Bria
, Alice Natalina Caragliano
, Camillo Maria Caruso
, Ermanno Cordelli
, Arianna Francesconi
, Valerio Guarrasi
, Giulio Iannello
, Guido Manni
, Massimiliano Mantegna
, Giustino Marino
, Daniele Molino
, Elena Mulero Ayllón
, Filippo Ruffini
, Linlin Shen
, Matteo Tortora
, Paolo Soda

^*Corresponding author for this work

Research output: Journal Publication › Conference article › peer-review

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.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	4121
Publication status	Published - 2025
Externally published	Yes
Event	Thematic Workshops at Ital-IA 2025, colocated with the 5th National Conference on Artificial Intelligence, organized by CINI, Ital-IA 2025 - Trieste, Italy Duration: 23 Jun 2025 → 24 Jun 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Free Keywords

Artificial Intelligence
Medical Foundation Models
Multimodal Learning
Resilient AI
Stress Detection

ASJC Scopus subject areas

General Computer Science

Cite this

@article{04d3bc3ccb704dc3adf513b1396211e5,

title = "Next-Gen Health: from Multimodal AI to Foundation Models",

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.",

keywords = "Artificial Intelligence, Medical Foundation Models, Multimodal Learning, Resilient AI, Stress Detection",

author = "Rosa Sicilia and Fatih Aksu and Alessandro Bria and Caragliano, \{Alice Natalina\} and Caruso, \{Camillo Maria\} and Ermanno Cordelli and Arianna Francesconi and Valerio Guarrasi and Giulio Iannello and Guido Manni and Massimiliano Mantegna and Giustino Marino and Daniele Molino and Ayll{\'o}n, \{Elena Mulero\} and Filippo Ruffini and Linlin Shen and Matteo Tortora and Paolo Soda",

note = "Publisher Copyright: {\textcopyright} 2025 Copyright for this paper by its authors. Use.; Thematic Workshops at Ital-IA 2025, colocated with the 5th National Conference on Artificial Intelligence, organized by CINI, Ital-IA 2025 ; Conference date: 23-06-2025 Through 24-06-2025",

year = "2025",

language = "English",

volume = "4121",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

}

TY - JOUR

T1 - Next-Gen Health

T2 - Thematic Workshops at Ital-IA 2025, colocated with the 5th National Conference on Artificial Intelligence, organized by CINI, Ital-IA 2025

AU - Sicilia, Rosa

AU - Aksu, Fatih

AU - Bria, Alessandro

AU - Caragliano, Alice Natalina

AU - Caruso, Camillo Maria

AU - Cordelli, Ermanno

AU - Francesconi, Arianna

AU - Guarrasi, Valerio

AU - Iannello, Giulio

AU - Manni, Guido

AU - Mantegna, Massimiliano

AU - Marino, Giustino

AU - Molino, Daniele

AU - Ayllón, Elena Mulero

AU - Ruffini, Filippo

AU - Shen, Linlin

AU - Tortora, Matteo

AU - Soda, Paolo

PY - 2025

Y1 - 2025

N2 - 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.

AB - 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.

KW - Artificial Intelligence

KW - Medical Foundation Models

KW - Multimodal Learning

KW - Resilient AI

KW - Stress Detection

UR - https://www.scopus.com/pages/publications/105038579129

M3 - Conference article

AN - SCOPUS:105038579129

SN - 1613-0073

VL - 4121

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 23 June 2025 through 24 June 2025

ER -

Next-Gen Health: from Multimodal AI to Foundation Models

Abstract

UN SDGs

Free Keywords

ASJC Scopus subject areas

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