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Preparing AI-Powered Healthcare Security Systems to be Resilient Against Quantum Computing Threats

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Authors: Gaurang Deshpande

Year

2023

Paper ID

11786

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

131

Citations

0

Abstract

Healthcare powered by artificial intelligence is revolutionising the way patients are treated: AI helps diagnose intelligently and lets one manage data intelligently. Nevertheless, this is under threat with the emergence of quantum computing, which threatens to crack all established cryptographic protection in these systems. Currently, this study aims to explore how ready AI-powered healthcare security systems are to counter attacks based on quantum computing. It discusses present vulnerabilities, and considerations of post-quantum cryptographic protections and provides quantum resilience strategic measures. Based on secondary data analysis, literature review, and case studies, the study highlights the major gaps and offers a road map to make safe AI applications in healthcare. Research results underline the importance of implementing quantum-resistant technologies in the short term to maintain long-term data integrity and protection against the system.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2023 reference point for readers tracking recent quantum research.
  • Healthcare powered by artificial intelligence is revolutionising the way patients are treated: AI helps diagnose intelligently and lets one manage data intelligently.

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