Innovative AI Solutions for Mental Health: Bridging Detection and Therapy

Authors

  • Hira Zainab American National University, USA Author
  • Ali Raza A Khan Virginia University of Science & Technology Author
  • Muhammad Ismaeel Khan Washington University of Science and Technology Author
  • Aftab Arif Washington University of Science and Technology Author

DOI:

https://doi.org/10.70445/gjeac.1.1.2025.51-58

Keywords:

AI-Enhanced Depression Detection, Integrated Mental Health Systems, EEG-Based Detection, Facial Recognition, Optimization Algorithms, Mental Health AI, Computational Challenges

Abstract

This paper examines how artificial intelligence systems can spot depression symptoms and develop treatment plans. We analyze the combination of physical healthcare devices with software applications to evaluate their worth and costs alongside AI face detection tools and optimization methods. The analysis reveals how expert teams combine their knowledge to develop effective artificial intelligence tools that assist people with mental health challenges. Our research proved that combining mental healthcare and AI technology leads to better diagnosis outcomes while providing tailored treatment solutions for global mental health support.

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Published

2025-01-24

How to Cite

1.
Zainab H, A Khan AR, Khan MI, Arif A. Innovative AI Solutions for Mental Health: Bridging Detection and Therapy. Glob. J. Emerg. AI Comput. [Internet]. 2025 Jan. 24 [cited 2025 Mar. 13];1(1):51-8. Available from: https://gjeac.com/index.php/GJEAIC/article/view/5