Conversational interventions showed the clearest signal for short-term depressive symptom improvement, while evidence for anxiety, stress, long-term outcomes, and diverse populations remained less consistent.
This critical narrative review examines evidence across the three domains in which artificial intelligence has been most extensively applied to mental health, namely diagnostic classification and risk detection, treatment personalisation, and continuous patient monitoring, and asks why demonstrated technical performanc...
Oyebode Mary Oluwabunmi, Anyebe Daniel Ameh, Jacob Miracle Godswill et al.· Journal of medicine and heal...· 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
Artificial intelligence is most defensible as a task-specific, clinically delimited support within stepped or blended care, with transparent role definition, version-specific validation, continuous safety monitoring, and accountable human oversight.
Mario Guadalupe López Ayala· Revista LINCE Ciencias Socia...· 0 citations
Artificial intelligence has significant potential to enhance mental health nursing by supporting early identification of symptoms, improving access to care and strengthening clinical decision-making, with stronger evidence observed in reviews evaluating AI interventions for early detection and risk prediction.
J. Odame, Gabriel Obeng-Gyamfi, Dayeon Heo et al.· Journal of Psychiatric and M...· 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
A review examines how free full-text PubMed literature describes the real-world implementation of AI in healthcare and identifies the technical, organizational, ethical, and social conditions that shape adoption.
Jagoda Pałubska, Oliwer Műller, Zuzanna Rafałowska et al.· International Journal of Inn...· 0 citations
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