Background/Aim: Artificial Intelligence (AI) involves creating systems capable of performing tasks typically requiring human cognitive functions, such as learning, reasoning, and decision-making. Over time, the field advanced toward more specialized, practical applications. Key AI areas include problem-solving, knowledge representation, decision-making, and natural language processing. This literature review aims to synthesize studies on the implementation of AI in the field of mental health of children and adolescents, tracing the current status and perspectives. Methods: Eligible studies were sought in PubMed, Google Scholar, PsycInfo; end-of-search was set at May 31, 2024. Results: AI is being increasingly utilized in the field of mental health to assist in diagnosing and managing conditions, such as mood disorders, autism spectrum disorders, and other mental health issues in children and adolescents. Technologies, such as mobile applications and wearable devices analyze behaviors, speech patterns, and emotions, offering valuable insights to forecast mood shifts and detect early signs of mental health problems. These tools support users in managing their emotions and stress, making mental health care more personalized and easier to access. Virtual therapists and AI chatbots offer private, convenient support, allowing young people to tackle their mental health concerns at their own convenience. Conclusions: AI has the potential to improve mental health care by advancing diagnosis, treatment, and early intervention. However, its integration must be done thoughtfully, with continuous research to address ethical and technical issues, including data privacy, algorithm biases, the need for human oversight, obtention of informed consent, transparency, and the avoidance of discrimination. Collaboration among various professionals is key to ensuring that AI is used in a responsible and effective way to enhance mental health care systems.