L’alleanza della cybersicurezza e dell’intelligenza artificiale nella sanità digitale: sfide e soluzioni RWD del progetto EU CYLCOMED

Abstract

The availability of health technologies has facilitated improvements in the quality of care, playing a vital role in both hospital environments and remote patient monitoring. However, the growing complexity of these technologies has also led to an increase in cyberattacks targeting healthcare systems over time. The CYLCOMED project was initiated to create cybersecurity solutions for connected health devices, testing them in two scenarios: first, protecting the security of a drug infusion pump; and second, monitoring pediatric patients with heart failure remotely. The project employs a combination of software and artificial intelligence (AI) algorithms to detect cybersecurity threats by overseeing the operation of connected devices in these case studies. Additionally, it addresses regulatory and ethical considerations to develop an AI-driven product suitable for clinical implementation. Integrating advanced technological tools, cybersecurity awareness, and preventive strategies is essential for ensuring patient safety.

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