A NEW ERA IN CYBERSECURITY: INTEGRATING THE MEDICAL FIELD AND ARTIFICIAL INTELLIGENCE

Abstract

This research addresses the pressing challenge of enhancing cybersecurity measures within the medical field through the integration of artificial intelligence (AI), in light of the growing cyber threats that jeopardize patient safety and data integrity. By employing a mixed-methods approach, this study evaluates existing cybersecurity vulnerabilities in healthcare systems and examines various AI-based solutions designed to mitigate these risks. Key findings indicate that the implementation of AI technologies, such as machine learning algorithms and predictive analytics, significantly strengthens defense mechanisms against cyberattacks, ultimately protecting sensitive patient information and enhancing operational efficiency. Furthermore, the research highlights that healthcare organizations utilizing AI-driven cybersecurity strategies experience a marked decrease in incident response times and improved compliance with regulatory standards. The significance of these findings lies in their potential to transform the cybersecurity landscape in healthcare, fostering a more resilient infrastructure that not only safeguards patient data but also instills greater trust among stakeholders. The broader implications of this study extend beyond immediate cybersecurity enhancements, suggesting that the integration of AI can lead to a paradigm shift in how healthcare institutions approach data protection, potentially influencing policy frameworks and encouraging further investment in innovative technologies. Overall, this research contributes critical insights into the intersection of technology and healthcare, proposing a proactive stance against the evolving nature of cyber threats in an increasingly digital health ecosystem.