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The integration of intelligent technology into healthcare has brought about remarkable improvements in efficiency and patient care. However, it has also raised significant concerns regarding the security of patient data. This research aims to determine the optimal utilization rate of artificial intelligence (AI) to safeguard complex healthcare infrastructure and systems. AI holds immense potential in threat detection, anomaly identification, and predictive analytics, positioning it as a powerful solution for ensuring the security of patient data and healthcare services. Its ability to recognize patterns and anticipate future occurrences makes AI a promising tool for this purpose. The research process involves data collection, quantitative and qualitative analyses, comparative assessments, algorithm validation, controlled testing, ethical hacking, penetration testing, and iterative feedback mechanisms. The primary goals are to develop, evaluate, and improve AI-based security solutions. The findings underscore how AI can enhance the accuracy of early disease detection and improve the safety of medical treatments. Furthermore, they emphasize the importance of continued collaboration between healthcare and technology professionals to develop intelligent healthcare solutions that are both reliable and secure.
Singh et al. (2024) studied this question.