Review on the use of AI-based methods and tools for treating mental conditions and mental rehabilitation

Abstract

This review provides a thorough examination of recent developments in artificial intelligence analysis methods within mental and psychiatry field. By analyzing and comparing results obtained with various tools and techniques, we provide a comprehensive and systematic understanding of applications. Our main methods include meta-analysis, search queries with the keywords and network-based approach. In our analysis, we observed that terms associated with robotics, human–computer interaction, speech perception, and certain applications, such as chronic fatigue syndrome and psychological adaptation, have been gradually losing prominence. And conversely, techniques such as deep learning, virtual reality, and virtual assistance are gaining traction, and increasing interest was noted for applications involving autistic spectrum disorders, mild cognitive impairments, and psychiatric research areas. The structured and organized presentation of information, along with the accompanying visualizations and diagrams, makes it a valuable resource for scientists and researchers working in the domains of artificial intelligence.