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Building an AI-enabled metaverse for intelligent healthcare: opportunities and challenges
Unit of Computer Systems and Bioinformatics, Department of Engineering, University Campus Bio-Medico of Rome, Italy.
Unit of Computer Systems and Bioinformatics, Department of Engineering, University Campus Bio-Medico of Rome, Italy.
Unit of Computer Systems and Bioinformatics, Department of Engineering, University Campus Bio-Medico of Rome, Italy.
Unit of Computer Systems and Bioinformatics, Department of Engineering, University Campus Bio-Medico of Rome, Italy.
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2023 (English)In: Proceedings of the Italia intelligenza artificiale: thematic workshops / [ed] Fabrizio Falchi; Fosca Giannotti; Anna Monreale; Chiara Boldrini; Salvatore Rinzivillo; Sara Colantonio, CEUR-WS , 2023, p. 134-139Conference paper, Published paper (Refereed)
Abstract [en]

This abstract discusses the development of a metaverse for intelligent healthcare, which involves creating a virtual environment where healthcare professionals, patients, and researchers can interact and collaborate using digital technologies. The metaverse can improve the efficiency and effectiveness of healthcare services and provide new opportunities for research and innovation. AI models are necessary for analyzing patient data and providing personalized healthcare recommendations, but the data in a metaverse setting is inherently multimodal, unstructured, noisy, incomplete, limited, or partially inconsistent, which poses a challenge for AI models. However, it becomes necessary the integration of AI models for the development of virtual scanners to simulate image modalities, and robotics to simulate surgical procedures within a virtual environment. The ultimate goal is to leverage the power of AI to enhance the quality of healthcare in a metaverse for intelligent healthcare, which has the potential to transform the way healthcare services are delivered and improve health outcomes for patients worldwide.

Place, publisher, year, edition, pages
CEUR-WS , 2023. p. 134-139
Series
CEUR Workshop proceedings, ISSN 1613-0073 ; 3486
Keywords [en]
Artificial Intelligence, Healthcare, Metaverse, Multimodal Learning
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-215737Scopus ID: 2-s2.0-85173857440OAI: oai:DiVA.org:umu-215737DiVA, id: diva2:1809300
Conference
Ital-IA 2023, Italia Intelligenza Artificiale Thematic Workshops, co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2023), Pisa, Italy, May 29-30, 2023
Available from: 2023-11-02 Created: 2023-11-02 Last updated: 2023-11-02Bibliographically approved

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Soda, Paolo

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