| Title: |
AI-Driven Ambient Intelligence Systems for Mental Health Monitoring and Proactive Intervention. |
| Authors: |
Roy, Piyal; Ghosh, Shivnath; Sarkar, Saptarshi Kumar; Podder, Amitava; Paul, Subrata |
| Source: |
Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 3, p2743-2752, 10p |
| Subject Terms: |
MENTAL health services; AMBIENT intelligence; MACHINE dynamics; ARTIFICIAL intelligence; CRISIS management |
| Abstract: |
The swift increasing number of mental health challenges worldwide demands prompt development of contemporary and extensive proactive solutions for managing mental health. This paper researches how AmI combines with AI capabilities to alter mental health tracking as well as intervention approaches. The paper provides an in-depth examination that explains the basic concepts of AmI together with its applications for mental health surveillance and proactive intervention delivery. The study analyzes the processing of mental health diagnostic information from physiological and behavioral elements with contextual factors yet examines the need for explaining AI models while ensuring ethical use and fairness of AI diagnostics. The discussion includes details about the benefits that AI-based virtual agents and adaptive interventional programs and real-time crisis management solutions provide for mental health treatment outcomes. A remarkable amount of progress has been achieved although various technical hurdles persist such as unresolvable privacy issues for specific data sets together with ongoing difficulties in model verification and human machine working dynamics. The article presents open research challenges and future guidance for AI-based AmI systems which demonstrate their potential capability to enhance mental health care accessibility and effectiveness. [ABSTRACT FROM AUTHOR] |
| : |
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| Database: |
Complementary Index |