%0 Journal Article
%T Critical review of self-diagnosis of mental health conditions using artificial intelligence.
%A Wimbarti S
%A Kairupan BHR
%A Tallei TE
%J Int J Ment Health Nurs
%V 33
%N 2
%D 2024 Apr 12
%M 38345132
%F 5.1
%R 10.1111/inm.13303
%X The advent of artificial intelligence (AI) has revolutionised various aspects of our lives, including mental health nursing. AI-driven tools and applications have provided a convenient and accessible means for individuals to assess their mental well-being within the confines of their homes. Nonetheless, the widespread trend of self-diagnosing mental health conditions through AI poses considerable risks. This review article examines the perils associated with relying on AI for self-diagnosis in mental health, highlighting the constraints and possible adverse outcomes that can arise from such practices. It delves into the ethical, psychological, and social implications, underscoring the vital role of mental health professionals, including psychologists, psychiatrists, and nursing specialists, in providing professional assistance and guidance. This article aims to highlight the importance of seeking professional assistance and guidance in addressing mental health concerns, especially in the era of AI-driven self-diagnosis.