Ensure patient-centred, ethically governed AI implementation with transparency, accountability, and ongoing evaluation to protect safety and trust.
Integrate AI into clinical workflows through clinician training, multidisciplinary governance, and evidence-based validation to maintain clinical utility and equity.
Address data quality, bias mitigation, privacy, and sustainable resource allocation to ensure responsible, equitable, and scalable psychiatric AI applications.
Omega (Westport). 2026 Jun 1:302228261455423. doi: 10.1177/00302228261455423. Online ahead of print.ABSTRACTThis study investigated the psychological processes linking death distress to flourishing within the context of...
Integr Psychol Behav Sci. 2026 Jun 1;60(2):46. doi: 10.1007/s12124-026-10007-2.ABSTRACTChildcare facilities are a vital social infrastructure that supports children's development and enables parents to balance work...
Basic Clin Neurosci. 2026 Jan-Feb;17(1):39-51. doi: 10.32598/bcn.2026.324.6. Epub 2026 Jan 1.ABSTRACTINTRODUCTION: Previous neuroimaging studies have rarely investigated hostility as a distinct cognitive-emotional dimension of aggression....
Front Public Health. 2026 May 15;14:1821179. doi: 10.3389/fpubh.2026.1821179. eCollection 2026.ABSTRACTBACKGROUND: Child maltreatment (CM) is a significant public health concern with long-term consequences for the child,...
Front Public Health. 2026 May 14;14:1851734. doi: 10.3389/fpubh.2026.1851734. eCollection 2026.ABSTRACTINTRODUCTION: Workplace violence (WPV) is a pervasive occupational and public health concern affecting healthcare workers (HCWs)...
