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

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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Publication Details

Journal
Recenti Progressi in Medicina
Published
2025-09-01
DOI
https://doi.org/10.1701/4556.45571
Primary Topic
Healthcare Systems and Public Health
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Alberto Eugenio Tozzi, Ileana Croci, Diana Ferro, Ginevra Campia
Recenti Progressi in Medicina
Healthcare Systems and Public Health
article

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

Alberto Eugenio Tozzi, Ileana Croci, Diana Ferro, Ginevra Campia
article en

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.

Recenti Progressi in MedicinaVol. 116(9)
Bambino Gesù Children's Hospital (IT)
Openalex Percentile: Top 68%
Healthcare Systems and Public Health
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