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Artificial Intelligence to Reshape the Healthcare Ecosystem

Author

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  • Gianluca Reali

    (Department of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy
    Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT), 43124 Parma, Italy
    The authors contributed equally to this work.)

  • Mauro Femminella

    (Department of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy
    Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT), 43124 Parma, Italy
    The authors contributed equally to this work.)

Abstract

This paper intends to provide the reader with an overview of the main processes that are introducing artificial intelligence (AI) into healthcare services. The first part is organized according to an evolutionary perspective. We first describe the role that digital technologies have had in shaping the current healthcare methodologies and the relevant foundations for new evolutionary scenarios. Subsequently, the various evolutionary paths are illustrated with reference to AI techniques and their research activities, specifying their degree of readiness for actual clinical use. The organization of this paper is based on the interplay three pillars, namely, algorithms, enabling technologies and regulations, and healthcare methodologies. Through this organization we introduce the reader to the main evolutionary aspects of the healthcare ecosystem, to associate clinical needs with appropriate methodologies. We also explore the different aspects related to the Internet of the future that are not typically presented in papers that focus on AI, but that are equally crucial to determine the success of current research and development activities in healthcare.

Suggested Citation

  • Gianluca Reali & Mauro Femminella, 2024. "Artificial Intelligence to Reshape the Healthcare Ecosystem," Future Internet, MDPI, vol. 16(9), pages 1-33, September.
    • Handle: RePEc:gam:jftint:v:16:y:2024:i:9:p:343-:d:1482204
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    References listed on IDEAS

    as
    1. Raihan Ur Rasool & Hafiz Farooq Ahmad & Wajid Rafique & Adnan Qayyum & Junaid Qadir & Zahid Anwar, 2023. "Quantum Computing for Healthcare: A Review," Future Internet, MDPI, vol. 15(3), pages 1-36, February.
    2. Volodymyr Mnih & Koray Kavukcuoglu & David Silver & Andrei A. Rusu & Joel Veness & Marc G. Bellemare & Alex Graves & Martin Riedmiller & Andreas K. Fidjeland & Georg Ostrovski & Stig Petersen & Charle, 2015. "Human-level control through deep reinforcement learning," Nature, Nature, vol. 518(7540), pages 529-533, February.
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