ReviewAdvances in experimental medicine and biology2026
Artificial Intelligence and Mental Health of Children and Adolescents: Current Status and Perspectives.
Review in Advances in experimental medicine and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimArtificial 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.
methodsEligible studies were sought in PubMed, Google Scholar, PsycInfo; end-of-search was set at May 31, 2024.
resultsAI 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.
conclusionsAI 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.
Indexed as
Identifiers
41252032What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.