Abstract

The application of Artificial Intelligence (AI) to health cybersecurity has led to a new era of opportunities and challenges. AI improves threat detection and mitigation but evokes concerns about data privacy, informed consent, algorithmic bias, and regulatory compliance. This article summarizes these vital issues by examining current challenges and suggesting ethical and legal frameworks to counter risks. Primary areas of emphasis are on lessening data, anonymizing data, minimizing bias, altering regulation, and facilitating international cooperation. The study needs to come to know in-depth how AI can responsibly be used in healthcare cybersecurity without compromising patient rights.