Integrated AI and 6G Driven e-Health: A Trifecta for Smart Healthcare

The integration of Artificial Intelligence (AI) and 6G wireless technology is transforming the future of healthcare services, allowing for real-time diagnostics, remote procedures, intelligent patient monitoring, and ultra-fast data processing. In light of this potential, this article explores creating a sophisticated e-health system by combining neuro-symbolic AI with 6G wireless networks. Firstly, 6G neuro-symbolic AI, an advanced AI tool that is the fusion of a 6G wireless network, a neural network, and symbolic AI, improves cognitive modeling and decision-making, and communication speed in e-healthcare is presented. Next, an integrated architecture of a 6G-neuro-symbolic AI healthcare system is proposed, which is a combination of various aspects of AI-assisted computing and 6G transmission capabilities. Moreover, we evaluated the performance of the proposed architecture by analyzing (a) false alarm rate, (b) detection accuracy, (c) computational cost, (d) latency, and (e) energy efficiency. The evaluation results prove that 6G neuro-Symbolic AI provides better results compared to the only federated learning (FL) method. Lastly, we explore practical potential challenges in AI and 6G-driven e-health-care systems, considering infrastructure readiness, interoperability issues, and ethical and legal issues.