Integrated AI and 6G Driven e-Health: Enabling Design, Challenges, and Future Prospects

Dolas, Amit, Bodile, Roshan, Kaushik, Aryan ORCID: https://orcid.org/0000-0001-6252-4641, Kaur, Amandeep, Singh, Rohit and Chatzimisios, Periklis (2024) Integrated AI and 6G Driven e-Health: Enabling Design, Challenges, and Future Prospects. In: 2024 IEEE Conference on Standards for Communications and Networking (CSCN), 25 November 2024 - 27 November 2024, Belgrade, Serbia.

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Abstract

The next generation of wireless networks is set to leverage artificial intelligence (AI) algorithms for enhanced application support, which is currently intensifying through the fusion of modern learning techniques (e.g., symbolic AI and neural networks). Further, the fusion of these AI tools offers immense potential, addressing critical wireless use cases with a focus on driving advancements in the communication and healthcare industry. Observing these potentials, this paper explores the integration of AI with 6G networks to develop an advanced e-health system. Firstly, we provide an overview of how the fusion of symbolic AI, i.e., an advanced AI tool, enhances decision-making and cognitive modeling in e-healthcare in conjunction with the 6G network. Further, we propose an integrated 6G-neuro-symbolic AI healthcare architecture that leverages several enabling features of AI-assisted computing and 6G transmission support. Moreover, the performance of the proposed architecture has been evaluated, presenting prediction accuracy and latency. Finally, we discuss industrial and standardization challenges, offering recommendations for addressing infrastructure, scalability, and ethical concerns in AI-driven healthcare systems.