Zainab, Hira and A Khan, Ali Raza and Khan, Muhammad Ismaeel and Arif, Aftab (2025) Innovative AI Solutions for Mental Health: Bridging Detection and Therapy. Global Journal of Emerging AI and Computing, 1 (1). pp. 51-58.
GJEAIC_5.pdf
Download (403kB)
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.
| Item Type: | Article |
|---|---|
| Depositing User: | Unnamed user with email samad2nice@gmail.com |
| Date Deposited: | 09 Oct 2026 15:30 |
| Last Modified: | 09 Oct 2026 15:38 |
| URI: | https://repository.globalsciencepress.com/id/eprint/528 |
