Adaptive and Intelligent Security for Healthcare Databases in the United States: A Critical Narrative Review of Artificial Intelligence and Machine Learning Innovations, Threats and Policy Gaps
Background: Healthcare databases in the United States, including electronic health record systems, claims repositories, imaging archives and research data warehouses, have become high-value targets for ransomware, credential theft, insider misuse and privacy attacks. Artificial intelligence and machine learning are wid...