Artificial Intelligence Techniques for Analyzing the Psychological State of Patients

Psychology has always focused on generating and analyzing data to gain a better understanding of human behavior. With the integration of AI, this field is evolving towards more advanced and promising methods, thus opening new perspectives for psychiatry and psychology. This study delves into the impact of artificial intelligence on these domains, providing an in-depth exploration of the literature in the field for understanding and treating psychological disorders. The cited works are categorized into three classes: psychological analysis, diagnosis of mental disorders, and response to drug treatments. This article also addresses the challenges and opportunities associated with integrating AI into clinical practice, paving the way for promising new perspectives in the research and treatment of psychological disorders. Deep learning techniques have also proven to be particularly relevant in this field and have already made significant advancements in psychology. In recent medical research, the application of deep learning techniques has shown promising results in clinical practice, which could have a significant impact on mental health and medicine. The article provides an overview of the various works highlighting the applications of Deep Learning in psychiatry, comparing the accuracy of Deep Learning models with standard machine learning (SML) techniques.