Quantum Neural Networks in Healthcare and Critical Systems Tensor Networks and n-Sci: The Road to Beyond 7G
摘要
AI has changed healthcare diagnostics by making them more accurate, quicker, and more secure with data. The study compares recent developments in AI, mainly aiming at Federated Learning, Quantum Neural Networks (QNNs) and how they relate to clinical diagnosis. Among 30 or more relevant peer-reviewed articles published over the years 2018 to 2024, we reviewed and measured accuracy, how fast diagnosis is, privacy protection and popularity trends. From the results, QNNs reach 97% accuracy and are quickest, while data security is much better in Federated Learning. Thanks to hybrid models, both strategies can be combined and used for scalable applications. Besides showing what AI can do in healthcare, the study outlines how it can be applied in real life. The research points to an increasing use of quantum-integrated and privacy-protecting technologies which will play a big role in advancing intelligent healthcare.