Azza S. Hassanein
Papers
1
Total Citations
39
H-Index
1
About
Dr. Azza S. Hassanein is a leading researcher at the forefront of Healthcare 4.0, specializing in the integration of artificial intelligence, federated learning, and 5G networks for next-generation medical diagnostics. Her work focuses on developing privacy-preserving AI models that enable real-time, decentralized health predictions without compromising sensitive patient data. Her most cited paper, "Artificial neural network‐driven federated learning for heart stroke prediction in Healthcare 4.0 underlying 5G" (2023), has already garnered 39 citations, reflecting its timely impact on smart healthcare. In this work, she demonstrates how combining deep learning with federated architectures and ultra-reliable 5G connectivity can achieve high-accuracy stroke risk assessment while maintaining data sovereignty across distributed healthcare systems. Dr. Hassanein’s contributions are pivotal to the emerging paradigm of automated, AI-aided diagnostics and surgical robotics, addressing critical challenges in scalability, latency, and security. Her research not only advances technical frontiers but also holds profound implications for equitable, accessible healthcare delivery. For students and researchers, her work exemplifies how interdisciplinary innovation—bridging AI, telecommunications, and medicine—can transform patient outcomes in the era of intelligent, connected healthcare.
Research Focus
Key Achievements
Top Papers
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