AI-Driven Healthcare Cyber-Security: Protecting Patient Data and Medical Devices

Abstract

The use of artificial intelligence (AI) in healthcare has transformed both operational and patient outcomes in the contemporary period. But with these developments comes the crucial problem of cybersecurity. This study explores the relationship between AI-driven technology and cybersecurity in the healthcare industry, with a particular emphasis on patient data and medical device protection. The paper begins by outlining the pivotal role AI plays in healthcare, from enhancing diagnostics to optimizing treatment plans. It then highlights the vulnerabilities that arise as healthcare systems become increasingly interconnected and reliant on AI algorithms. Central to this discussion are the unique cybersecurity challenges posed by AI, such as adversarial attacks and data privacy concerns. Furthermore, the research explores current strategies and technologies employed to safeguard patient data and medical devices. It examines the role of AI itself in bolstering cybersecurity defenses, including anomaly detection and predictive analytics. Case studies and examples from recent cyber incidents highlight the need for addressing these issues comprehensively. Finally, the paper proposes future directions for research and development in AI-driven healthcare cybersecurity.

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