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

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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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. © 2024 Copyright for this paper by its authors.
Original languageEnglish
Pages (from-to)360-365
JournalCEUR Workshop Proceedings
Volume3762
Publication statusPublished - May 2024
Event2024 Ital-IA Intelligenza Artificiale - Thematic Workshops (Ital-IA 2024) - Stazione Marittima Centro Congressi, Naples, Italy
Duration: 29 May 202430 May 2024
http://ceur-ws.org/Vol-3762/
https://ital-ia2024.it/

Bibliographical note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Research Keywords

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

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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