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Advancing the cybersecurity of the healthcare system with self-optimising and self-adaptative artificial intelligence (part 2)

Abstract:

This article advances the knowledge on teaching and training new artificial intelligence algorithms, for securing, preparing, and adapting the healthcare system to cope with future pandemics. The core objective is to develop a concept healthcare system supported by autonomous artificial intelligence that can use edge health devices with real-time data. The article constructs two case scenarios for applying cybersecurity with autonomous artificial intelligence for (1) self-optimising predictiv...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s12553-022-00691-6

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0001-5629-6857
Publisher:
Springer Nature Publisher's website
Journal:
Health and Technology Journal website
Publication date:
2022-08-12
Acceptance date:
2022-08-02
DOI:
ISSN:
2190-7196
Language:
English
Keywords:
Pubs id:
1273370
Local pid:
pubs:1273370
Deposit date:
2022-08-12

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