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Application of Artificial Intelligence in Mental Health

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Intelligent Systems Design and Applications (ISDA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 646))

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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Author information

Authors and Affiliations

  1. Adamas University, Kolkata, 700126, India

    Anindya Nag, Ayontika Das, Riya Sil, Anwesha Kar & Dishari Mandal

  2. Khulna University, Khulna, 9208, Bangladesh

    Biva Das

Authors
  1. Anindya Nag
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  2. Ayontika Das
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  3. Riya Sil
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  4. Anwesha Kar
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  5. Dishari Mandal
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  6. Biva Das
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Corresponding author

Correspondence to Anindya Nag .

Editor information

Editors and Affiliations

  1. Faculty of Computing and Data Science, FLAME University, Pune, Maharashtra, India

    Ajith Abraham

  2. Center for Smart Computing Continuum, Burgenland, Austria

    Sabri Pllana

  3. University of Bari, Bari, Italy

    Gabriella Casalino

  4. University of Jinan, Jinan, Shandong, China

    Kun Ma

  5. Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

    Anu Bajaj

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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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