Adaptive AI and quantum computing for real-time financial fraud detection and cyber-attack prevention in U.S. healthcare

Mukasa, Alex Lwembawo and Makandah, Esther A and Anwansedo, Sunday (2025) Adaptive AI and quantum computing for real-time financial fraud detection and cyber-attack prevention in U.S. healthcare. World Journal of Advanced Research and Reviews, 26 (2). pp. 2785-2794. ISSN 2581-9615

This article explores the integration of adaptive AI and quantum computing to combat financial fraud and cyber-attacks in the U.S. healthcare sector. By leveraging deep neural networks, reinforcement learning, and quantum-enhanced models, we propose a hybrid framework capable of achieving high fraud detection accuracy and anomaly detection in real-time. Case studies and empirical evaluations demonstrate the superiority of the framework over traditional methods, while ethical and regulatory implications are addressed to ensure responsible deployment.