AI-Driven Convergence: Transforming 6G Network Mental Health and Assistive Technologies

Authors

  • Uttara Dalvi Assistant Professor, Department of Applied Sciences and Humanities, St. John College of Engineering & Management, Palghar, Maharashtra India
  • Anish Naik Undergraduate Student, Department of Computer, St. John College of Engineering & Management Palghar, Maharashtra, India
  • Rishabh Vaishnav Undergraduate Student, Department of Computer, St. John College of Engineering & Management Palghar, Maharashtra, India
  • Anvit Shetty Undergraduate Student, Department of Computer, St. John College of Engineering & Management Palghar, Maharashtra, India
  • Shruti Thakur Undergraduate Student, Department of Electronics and Computer Science, St. John College of Engineering & Management, Palghar, Maharashtra, India
  • Kajal Rai Undergraduate Student, Department of Electronics and Computer Science, St. John College of Engineering & Management, Palghar, Maharashtra, India

Keywords:

Artificial Intelligence (AI), Emerging technologies, Mental health, Network security, Practical applications, 6G Wireless networks, Wireless communications

Abstract

This review undertakes a comprehensive examination of the convergence of the sixth-generation (6G) wireless networks, Artificial Intelligence (AI), and their application in mental health and assistive technologies. The review underscores the pivotal role of AI as a catalyst for innovation across these disciplines. In summary, this review presents a visionary framework for future systems wherein AI is not merely a supplementary component but a fundamental element, enabling the creation of intelligent, adaptable, and secure technologies.
These systems are designed to enhance wireless communications, provide effective mental health support, and improve the quality of life through assistive technologies. The focus of this review enfolds the encompassing of both technological advancements and their practical application to cater to a diverse range of user needs. The integration of AI and the 6G wireless networks is expected to revolutionize the way we approach mental health and assistive technologies, enabling more personalized, efficient, and effective interventions.
Furthermore, this review highlights the potential of AI-powered 6G wireless networks to transform the lives of individuals with disabilities, elderly populations, and those living in remote or underserved areas. By leveraging the capabilities of AI and 6G wireless networks, we can create more inclusive, accessible, and equitable technologies that promote social welfare and improve overall quality of life.

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Published

2025-03-25

Issue

Vol. 2 No. 1 (2025): January –April

Section

Articles