Towards AI-driven Next Generation Personalized Healthcare and Well-being

Fatih Aksu; Alessandro Bria; Alice Natalina Caragliano; Camillo Maria Caruso; Wenting Chen; Ermanno Cordelli; Omar Coser; Arianna Francesconi; Leonardo Furia; Valerio Guarrasi; Giulio Iannello; Clemente Lauretti; Guido Manni; Giustino Marino; Domenico Paolo; Filippo Ruffini; Linlin Shen; Rosa Sicilia; Paolo Soda; Christian Tamantini; Matteo Tortora; Zhuoru Wu; Loredana Zollo

Towards AI-driven Next Generation Personalized Healthcare and Well-being

Fatih Aksu, Alessandro Bria, Alice Natalina Caragliano, Camillo Maria Caruso, Wenting Chen, Ermanno Cordelli, Omar Coser, Arianna Francesconi, Leonardo Furia, Valerio Guarrasi, Giulio Iannello, Clemente Lauretti, Guido Manni, Giustino Marino, Domenico Paolo, Filippo Ruffini, Linlin Shen, Rosa Sicilia, Paolo Soda, Christian TamantiniMatteo Tortora, Zhuoru Wu, Loredana Zollo

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

Abstract

In the last few years Artificial Intelligence (AI) is emerging as a game changer in many areas of society and, in particular, its integration in medicine heralds a transformative approach towards personalized healthcare and well-being, promising significant improvements in diagnostic precision, therapeutic outcomes, and patient care. Our research explores the cutting-edge realms of multimodal AI, resilient AI, and healthcare robotics, aiming to harness the synergy of diverse data modalities and advanced computational models to redefine healthcare paradigms. This multidisciplinary effort seeks to bridge technology and clinical practice, advancing AI-driven next generation personalized healthcare and well-being.

Original language	English
Pages (from-to)	534-539
Number of pages	6
Journal	CEUR Workshop Proceedings
Volume	3762
Publication status	Published - 2024
Externally published	Yes
Event	2024 Ital-IA Intelligenza Artificiale - Thematic Workshops, Ital-IA 2024 - Naples, Italy Duration: 29 May 2024 → 30 May 2024

Keywords

Artificial Intelligence
Healthcare Robotics
Multimodal Learning
Precision Medicine
Resilient AI
Stress Detection

ASJC Scopus subject areas

General Computer Science

Cite this

Aksu, F., Bria, A., Caragliano, A. N., Caruso, C. M., Chen, W., Cordelli, E., Coser, O., Francesconi, A., Furia, L., Guarrasi, V., Iannello, G., Lauretti, C., Manni, G., Marino, G., Paolo, D., Ruffini, F., Shen, L., Sicilia, R., Soda, P., ... Zollo, L. (2024). Towards AI-driven Next Generation Personalized Healthcare and Well-being. CEUR Workshop Proceedings, 3762, 534-539.

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title = "Towards AI-driven Next Generation Personalized Healthcare and Well-being",

abstract = "In the last few years Artificial Intelligence (AI) is emerging as a game changer in many areas of society and, in particular, its integration in medicine heralds a transformative approach towards personalized healthcare and well-being, promising significant improvements in diagnostic precision, therapeutic outcomes, and patient care. Our research explores the cutting-edge realms of multimodal AI, resilient AI, and healthcare robotics, aiming to harness the synergy of diverse data modalities and advanced computational models to redefine healthcare paradigms. This multidisciplinary effort seeks to bridge technology and clinical practice, advancing AI-driven next generation personalized healthcare and well-being.",

keywords = "Artificial Intelligence, Healthcare Robotics, Multimodal Learning, Precision Medicine, Resilient AI, Stress Detection",

author = "Fatih Aksu and Alessandro Bria and Caragliano, {Alice Natalina} and Caruso, {Camillo Maria} and Wenting Chen and Ermanno Cordelli and Omar Coser and Arianna Francesconi and Leonardo Furia and Valerio Guarrasi and Giulio Iannello and Clemente Lauretti and Guido Manni and Giustino Marino and Domenico Paolo and Filippo Ruffini and Linlin Shen and Rosa Sicilia and Paolo Soda and Christian Tamantini and Matteo Tortora and Zhuoru Wu and Loredana Zollo",

note = "Publisher Copyright: {\textcopyright} 2024 Copyright for this paper by its authors.; 2024 Ital-IA Intelligenza Artificiale - Thematic Workshops, Ital-IA 2024 ; Conference date: 29-05-2024 Through 30-05-2024",

year = "2024",

language = "English",

volume = "3762",

pages = "534--539",

journal = "CEUR Workshop Proceedings",

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Aksu, F, Bria, A, Caragliano, AN, Caruso, CM, Chen, W, Cordelli, E, Coser, O, Francesconi, A, Furia, L, Guarrasi, V, Iannello, G, Lauretti, C, Manni, G, Marino, G, Paolo, D, Ruffini, F, Shen, L, Sicilia, R, Soda, P, Tamantini, C, Tortora, M, Wu, Z & Zollo, L 2024, 'Towards AI-driven Next Generation Personalized Healthcare and Well-being', CEUR Workshop Proceedings, vol. 3762, pp. 534-539.

TY - JOUR

T1 - Towards AI-driven Next Generation Personalized Healthcare and Well-being

AU - Aksu, Fatih

AU - Bria, Alessandro

AU - Caragliano, Alice Natalina

AU - Caruso, Camillo Maria

AU - Chen, Wenting

AU - Cordelli, Ermanno

AU - Coser, Omar

AU - Francesconi, Arianna

AU - Furia, Leonardo

AU - Guarrasi, Valerio

AU - Iannello, Giulio

AU - Lauretti, Clemente

AU - Manni, Guido

AU - Marino, Giustino

AU - Paolo, Domenico

AU - Ruffini, Filippo

AU - Shen, Linlin

AU - Sicilia, Rosa

AU - Soda, Paolo

AU - Tamantini, Christian

AU - Tortora, Matteo

AU - Wu, Zhuoru

AU - Zollo, Loredana

PY - 2024

Y1 - 2024

N2 - In the last few years Artificial Intelligence (AI) is emerging as a game changer in many areas of society and, in particular, its integration in medicine heralds a transformative approach towards personalized healthcare and well-being, promising significant improvements in diagnostic precision, therapeutic outcomes, and patient care. Our research explores the cutting-edge realms of multimodal AI, resilient AI, and healthcare robotics, aiming to harness the synergy of diverse data modalities and advanced computational models to redefine healthcare paradigms. This multidisciplinary effort seeks to bridge technology and clinical practice, advancing AI-driven next generation personalized healthcare and well-being.

AB - In the last few years Artificial Intelligence (AI) is emerging as a game changer in many areas of society and, in particular, its integration in medicine heralds a transformative approach towards personalized healthcare and well-being, promising significant improvements in diagnostic precision, therapeutic outcomes, and patient care. Our research explores the cutting-edge realms of multimodal AI, resilient AI, and healthcare robotics, aiming to harness the synergy of diverse data modalities and advanced computational models to redefine healthcare paradigms. This multidisciplinary effort seeks to bridge technology and clinical practice, advancing AI-driven next generation personalized healthcare and well-being.

KW - Artificial Intelligence

KW - Healthcare Robotics

KW - Multimodal Learning

KW - Precision Medicine

KW - Resilient AI

KW - Stress Detection

UR - http://www.scopus.com/inward/record.url?scp=85205566611&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85205566611

SN - 1613-0073

VL - 3762

SP - 534

EP - 539

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2024 Ital-IA Intelligenza Artificiale - Thematic Workshops, Ital-IA 2024

Y2 - 29 May 2024 through 30 May 2024

ER -

Towards AI-driven Next Generation Personalized Healthcare and Well-being

Abstract

Keywords

ASJC Scopus subject areas

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