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.
It is concluded that while AI integration into clinical psychology has the potential to substantially strengthen mental health systems, its successful implementation depends on adherence to ethical standards, fairness, and responsible governance.
O. Omankwu· International Journal of Eng...· 0 citations
The review found that AI tools—for example, selfreferral chatbots that reduced waiting times and increased treatment uptake—provide expanded 24/7 access, improved clinical efficiency, and potential for individualised personalisation, while Predictive models showed promise for treatment selection and risk stratification...
Shizal Nawaz, Laiba Nawaz, Hasnain Ali et al.· Digital Medicine· 0 citations
The International Workshop on AI for Cognitive and Mental Health Support is proposed, a half-day interdisciplinary forum that brings together researchers and practitioners from data mining, machine learning, NLP, NLP, HCI, healthcare, and social sciences to advance trustworthy, effective, and socially responsible AI so...
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
Artificial intelligence can enhance mental healthcare through early detection, personalized treatment planning, predictive risk assessment, digital therapeutics, and remote care delivery, and these applications may expand access to mental health services, particularly in underserved and resource-limited settings.
Fabiana Chyczij, M. Paixão, Diogo Gonçalves Sara· Global Health Economics and...· 0 citations
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