Sep 2026· Psychotherapy and Psychosomatics· pp.
1
· 0 citations
Medicine
TL;DR
This review examines how AI and emerging technologies may contribute to mental health care across diagnostic assessment, biomarker development, treatment selection, personalized neuromodulation, adaptive interventions, and conversational agents.
The integration of artificial intelligence (AI) and psychology presents significant opportunities to
enhance mental health diagnosis, intervention, and clinical decision-making. This study
examines how AI-driven technologies, including machine learning, natural language processing,
and digital phenotyping, are resha...
O. Omankwu· International Journal of Eng...· 0 citations
Artificial intelligence (AI) is transforming mental health care by enabling novel approaches to assessment, outcome prediction, and treatment. However, the rapid growth of AI tools has outpaced evidence synthesis on their realworld clinical value, implementation barriers, and ethical risks, leaving clinicians and p...
Shizal Nawaz, Laiba Nawaz, Hasnain Ali et al.· Digital Medicine· 0 citations
Cognitive and mental health (CMH) disorders are increasingly prevalent worldwide and pose significant societal, clinical, and economic challenges. While conventional mental health support methods remain limited by scalability and reactivity, recent advances in artificial intelligence have opened new opportunities for s...
Xiang-Meng Wang, Hao-Yang Li, Chen Li et al.· Proceedings of the 32nd ACM...· 0 citations
Artificial intelligence (AI) is rapidly transforming health care, offering new opportunities to enhance education, clinical care, and system-level integration. Lifestyle medicine (LM), with its emphasis on behavior change and whole-person care is particularly well positioned to benefit from these advances. This perspec...
L. Lianov· American Journal of Lifestyl...· 0 citations
Artificial intelligence (AI) is transforming psychiatric practice by introducing innovative approaches to diagnosis, risk prediction, and personalized mental healthcare. Recent advances in machine learning (ML), deep learning (DL), natural language processing (NLP), digital phenotyping, neuroimaging analytics, and wear...
Rehana Banoo, Shilki Sharma, N. K et al.· International Journal of Res...· 0 citations
Mental disorders are among the leading causes of disability worldwide, imposing burdens on individuals, healthcare systems, and economies. Shortages of mental health professionals, unequal access to care, and increasing demand highlight the need for innovative solutions. Artificial intelligence (AI) has emerged as a te...
Fabiana Chyczij, M. Paixão, Diogo Gonçalves Sara· Global Health Economics and...· 0 citations
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