Artificial Intelligence Powered Chatbots in Mental Health: Exploring Innovations for Early Detection and Personalized Treatment

OBJECTIVE: The aim of this review article is to analyse the use of artificial intelligence chatbots in mental health and to outline its use in the early detection and treatment of various psychiatric disorders affecting mental health. The article also aims to provide its practical applications and insights into future research directions. METHODOLOGY: This study employed a systematic review methodology, searching major medical and psychological databases (PubMed, PsycINFO, Embase, and Cochrane Library) using keywords and MeSH terms related to artificial intelligence chatbots, mental health, and artificial intelligence in mental health. The focus was on clinical trials, meta-analyses, systematic reviews, and observational studies, while excluding animal studies, case reports, and non-peer-reviewed articles. RESULTS: The review yielded a total of 75 studies that investigated the role of artificial intelligence (AI)-powered chatbots in mental health care, comprising 25 clinical trials, 10 meta-analyses, 15 systematic reviews, and 25 observational studies. It was found that AI-powered chatbots have the potential to revolutionize mental health care by providing accessible and efficient support, but concerns around data privacy and security must be addressed. CONCLUSION: AI-powered chatbots have the capacity and ability to provide support and help to those suffering from various mental health issues. On the other hand, concerns exist pertaining to an individual’s privacy and personal data. Further research is needed to conduct studies to address its drawbacks.