AliM.AliS.AbbasQ.AbbasZ.LeeS. W. (2025). Artificial intelligence for mental health: A narrative review of applications, challenges, and future directions in digital health. Digital Health, 11, 20552076251395548. https://doi.org/10.1177/20552076251395548
BergsmarkL. P. S.RamsingF. (2023). Which considerations are lost when debating the prolonged grief disorder diagnosis?Theory and Psychology, 33(6), 856–872. https://doi.org/10.1177/09593543231172193
4.
HigginsO.WilsonR. L. (2025). Integrating artificial intelligence (AI) with workforce solutions for sustainable care: A follow up to artificial intelligence and machine learning (ML) based decision support systems in mental health. International Journal of Mental Health Nursing, 34(2), Article e70019. https://doi.org/10.1111/inm.70019
5.
Jahan MuktaK.Anamul IslamM.AuthorC. (2025). Artificial intelligence in psychiatric inpatient care: Advancing diagnostics, personalized treatment, and ethical integration. Journal of Psychology and Behavior Studies, 5(3), 1–15. https://doi.org/10.32996/jpbs.2025.5.3.1
6.
MikkonenK. (2025). The evolution and future of nursing education: Bridging evidence-based practice and hybrid intelligence. Journal of Advanced Nursing. Advance Online Publication. https://doi.org/10.1111/jan.70434
7.
OmiyefaS. (2025). Artificial intelligence and machine learning in precision mental health diagnostics and predictive treatment models. International Journal of Research Publication and Reviews, 6(3), 85–99. https://doi.org/10.55248/gengpi.6.0325.1107
8.
TomičićA.GjorgjioskaM. A. (2024). Epistemic inequality in the digital era: Unpacking biases in digital mental health. Theory & Psychology, 34(6), 777–797. https://doi.org/10.1177/09593543241279131
9.
YıldızE.HarmancıP. (2025). Digital support for complex interventions in psychiatric nursing: Implementation models and effectiveness evaluation. Issues in Mental Health Nursing, 46(9), 878–890. https://doi.org/10.1080/01612840.2025.2531543