Artificial Intelligence in Healthcare: Safeguarding Data and Enhancing Information Access through Cybersecurity

Abstract

The use of AI in healthcare cybersecurity is rapidly growing, transforming how organizations protect patient data from emerging threats. This article highlights key considerations when integrating AI to enhance cybersecurity, focusing on risk prediction, vulnerability detection, cryptography, and compliance with essential security requirements. AI can proactively predict risks, enabling mitigation of cyber-attacks. Additionally, block chain enhances data integrity for IoT and IoMT security, while AI strengthens user authentication. These innovations offer promising solutions to future threats. However, improving AI’s role in managing cybersecurity requires expanding AI-based technologies to enhance data protection and response times. Advances such as federated learning ensure patient privacy while improving data security. Despite AI’s benefits, healthcare organizations must navigate ethical, legal, and technological challenges to prevent further erosion of patient trust. A balanced approach is essential to leveraging AI’s potential while maintaining security and compliance in an evolving digital healthcare landscape.