The Role of Artificial Intelligence in Mental Health: A Review

Abstract

The domains of mental health and artificial intelligence (AI) are undergoing rapid advancements, exhibiting the capacity to mutually influence one another in significant ways. The increasing prevalence of mental health illnesses has prompted the exploration of potential remedies in the field of AI, which show promise in the areas of early detection, prevention, and therapy. Sophisticated machine learning algorithms possess the capability to evaluate extensive volumes of data, including social media posts and voice patterns, with the objective of detecting patterns and symptoms associated with mental illness. This facilitates the implementation of more focused interventions and individualized treatment strategies. Furthermore, chatbots utilizing AI have the capability to deliver round-the-clock assistance to those undergoing acute distress or grant them access to therapy in cases where waiting lists are extensive. Nevertheless, it is of utmost importance to guarantee the incorporation of ethical issues throughout the use of AI in the field of mental healthcare. In order to achieve successful integration, it is imperative to address many concerns, including but not limited to privacy, bias, and accurate diagnosis. However, the convergence of mental health and AI offers a distinct prospect to transform our approach to mental disease and improve the availability of care for countless individuals globally.

Exploring the Role of Artificial Intelligence in Mental Healthcare: Current Trends and Future Directions – A Narrative Review for a Comprehensive Insight

“…Although still preliminary, the study provides some understanding of how AI applications might affect psychiatry. 28 Science Insights (Shimada 2023) discusses the relationship between artificial intelligence and mental health and the importance of early diagnosis and screening. In their study, the transformation of AI-based methods can be seen to a small degree.…”

“…It demonstrates that they play an important role in early diagnosis and screening for mental health problems. 29 On evaluating the uses of AI in mental and gynecological healthcare, Delanerolle et al highlighted that in gynecology, obstetrics, and mental health practice, capabilities in deep learning need to be enhanced to make women's health more personalized and to see more favorable results. Therefore, early diagnosis and screening are as important as ever, emphasized Sun et al in 2023.…”