Abstract
The Implementation of artificial intelligence has become one of the most critical tools that have impacted various domains of extensive societal importance including agriculture, education, and economic development. It is a multidisciplinary field that aims to automate activities within a machine similar to that of human intelligence. This advancement has created a huge revolution in the medical field. Various machine learning algorithms for prediction, accuracy detection, temporal model, speech processing, robotics and automated decision-making has been used in the development of mental health care. In this paper, authors have described about the various techniques that have been implemented till date such as Personal Sensing, Natural Language Processing (NLP), Audio Analysis, Electroencephalography (EEG), Chatbot, Multi-Agent Model etc. for taking care of mental health over the past few years. Artificial intelligence and machine learning-based technologies provide a promising area in transforming mental health and its possible drawbacks. Furthermore, the authors have provided an overview of artificial intelligence and its various applications in the field of healthcare. Various artificial intelligence-based techniques are required to eradicate the difference between normal clinical care and psychiatric treatments. In recent years, the world has observed a huge economical and mental breakdown of society due to the global pandemic since 2022. The severe impact of Covid-19 is reflected in the life of students thus affecting the education system as well. A review of numerous researches on mental health using artificial intelligence has been done that can be used in the place of usual clinical practices while eliminating its current restrictions, areas requiring additional research and improvement, and proper implications.
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Nag, A., Das, A., Sil, R., Kar, A., Mandal, D., Das, B. (2023). Application of Artificial Intelligence in Mental Health. In: Abraham, A., Pllana, S., Casalino, G., Ma, K., Bajaj, A. (eds) Intelligent Systems Design and Applications. ISDA 2022. Lecture Notes in Networks and Systems, vol 646. Springer, Cham. https://doi.org/10.1007/978-3-031-27440-4_13
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