USING ARTIFICIAL INTELLIGENCE IN MENTAL HEALTH DIAGNOSIS
DOI:
https://doi.org/10.32689/maup.it.2023.1.8Keywords:
Depression, Psychometrics, Machine Learning, Software Engineering Patterns, Artificial Intelligence, Psychotherapy, Post-traumatic stress disorderAbstract
The purpose of this study is to review existing ways of diagnosing mental health disorders (specifically depression and post-traumatic stress disorder). We will dive deeper into the literature about the topic, including studies already conducted in this area and their results. To understand how up-to-date this question is, the research will also involve a series of interviews and surveys with psychotherapists, psychologists, and other mental health professionals with various years of experience to gain insights about their views on the potential applications of artificial intelligence in mental health diagnostics and learn more about the existing process of diagnosing different mental health issues. Modern conditions create new trends in the development of the analysis of the psychological state of people, and it is worth understanding the effectiveness of existing methods, the impressions of practicing specialists to what extent current conditions change approaches to the analysis of the psychological state of a person and the search for ideas on how artificial intelligence can simplify their work and improve results. The findings of this study will provide an overview of the topic and give the proof or disproof of the concept of using the artificial intelligence methods for the diagnostic process and speeding up the treatment process. Besides, the study could provide a set of criteria that can be used to evaluate the effectiveness of different methods of artificial intelligence for these purposes. This could include metrics related to the accuracy, efficiency, and ethical considerations. An additional outcome could be a better understanding of the potential benefits and drawbacks of using artificial intelligence in this context, which could inform future researchers and developers in this field. Ultimately, this study aims to contribute to the ongoing conversation about how technology can be used to improve mental health care and outcomes.
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