Abstract
The article analyzes the relevance of artificial intelligence applications in healthcare. A systematic literature review was conducted, making it possible to examine and compare recent scientific advances and identify key challenges in this field. The study aims to identify the main areas of application, opportunities, and limitations of artificial intelligence through a systematic analysis of contemporary scientific literature. The findings indicate that artificial intelligence is effectively used in diagnostics, monitoring, chatbots, and digital interventions. The main limitations include insufficient clinical validation, algorithmic bias, data privacy concerns, and ethical issues. Thus, artificial intelligence is an important tool for improving the accessibility and effectiveness of mental healthcare. However, further research is needed to ensure its safe integration into clinical practice.