- António Chaves ORCID:orcid.org/0000-0002-2449-265816,
- Larissa Montenegro ORCID:orcid.org/0000-0003-2911-451416,
- Hugo Peixoto ORCID:orcid.org/0000-0003-3957-212116,
- António Abelha ORCID:orcid.org/0000-0001-6457-075616,
- Luís Gomes ORCID:orcid.org/0000-0003-0281-233917 &
- …
- José Machado ORCID:orcid.org/0000-0002-4917-247416
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Abstract
Multi-Agent Systems has existed for decades and has focused on principles such as loose coupling, distribution, reactivity, and local state. Despite substantial tool and programming language research and development, industry adoption of these systems has been restricted, particularly in the healthcare arena. Artificial intelligence, on the other hand, entails developing computer systems that can execute tasks that normally require human intelligence, such as decision-making, problem-solving, and learning. The goal of this article is to develop and implement an architecture that includes multi-agent systems with microservices, leveraging the capabilities of both methodologies in order to harness the power of Artificial Intelligence in the healthcare industry. It assesses the proposed architecture’s merits and downsides, as well as its relevance to various healthcare use cases and the influence on system scalability, adaptability, and maintainability. Indeed, the proposed architecture is capable of meeting the objectives while maintaining scalability, flexibility, and adaptability.
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Acknowledgements
This work has been supported by FCT (Fundação para a Ciência e Tecnologia) within the R &D Units Project Scope: UIDB/00319/2020.
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ALGORITMI/LASI, University of Minho, Braga, Portugal
António Chaves, Larissa Montenegro, Hugo Peixoto, António Abelha & José Machado
ALGORITMI/LASI, University of Azores, Ponta Delgada, Portugal
Luís Gomes
- António Chaves
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- Larissa Montenegro
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- António Abelha
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- Luís Gomes
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Correspondence toJosé Machado.
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University of Minho, Braga, Portugal
Paulo Novais
Universitat Politècnica de València, Valencia, Valencia, Spain
Vicente Julián Inglada
University of Granada, Granada, Spain
Miguel J. Hornos
National Institute of Informatics, Chiyoda, Japan
Ichiro Satoh
CIICESI, ESTG, Politécnico do Porto, Felgueiras, Portugal
Davide Carneiro
ISEP/GECAD, Porto, Portugal
João Carneiro
Deep tech lab, AIR Institute, Valladolid, Spain
Ricardo S. Alonso
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Chaves, A., Montenegro, L., Peixoto, H., Abelha, A., Gomes, L., Machado, J. (2023). Intelligent Systems in Healthcare: An Architecture Proposal. In: Novais, P.,et al. Ambient Intelligence – Software and Applications – 14th International Symposium on Ambient Intelligence. ISAmI 2023. Lecture Notes in Networks and Systems, vol 770. Springer, Cham. https://doi.org/10.1007/978-3-031-43461-7_23
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