Evidence map›Paper›PMID 41779143›Full record

SynthesisEuropean child & adolescent psychiatry2026

A systematic review of artificial intelligence in child and adolescent interventions: from psychotherapy to developmental support.

Tuba Mutluer, Ipek Ege Gurel Ficicioglu, Melike Uysal, Sultan Ekinci, Cemre Naz Coskun, Hatice Kubra Mete, Seyda Nur Ispir Caltıner, Bahar Zeynep Bugay, Egemen Sever, Cagatay Basdogan

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European child & adolescent psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Tuba MutluerAkdeniz University School of Medicine, Department of Child and Adolescent Psychiatry, Antalya, Türkiye. tubamutluer@gmail.com.ORCID http://orcid.org/0000-0002-6873-8234
Ipek Ege Gurel FiciciogluBakirkoy Prof. Dr. Mazhar Osman Training and Research Hospital for Neurological Diseases and Mental Health, Department of Child and Adolescent Psychiatry, Istanbul, Turkey.
Melike UysalKirikkale High Specialization Hospital, Department of Child and Adolescent Psychiatry, Kirikkale, Turkey.
Sultan EkinciMedeniyet University Faculty of Medicine, Department of Psychiatry, Istanbul, Turkey.
Cemre Naz CoskunBağcılar Research and Training Hospital, Department of Psychiatry, Istanbul, Turkey.
Hatice Kubra MeteBağcılar Research and Training Hospital, Department of Psychiatry, Istanbul, Turkey.
Seyda Nur Ispir CaltınerSelcuk University Faculty of Medicine, E Block Psychiatry Clinic, Konya, Turkey.
Bahar Zeynep BugayBahcesehir University School of Medicine, Istanbul, Turkey.
Egemen SeverKoç University School of Medicine, Istanbul, Turkey.
Cagatay BasdoganDirector of Robotics and Mechatronics Laboratory, Member of KUIS AI Center, College of Engineering, Koç University, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of artificial intelligence (AI) into child and adolescent psychotherapy has gained traction in recent years, driven by the increasing demand for accessible and effective mental health services. This systematic review investigates how AI has been applied in child and adolescent psychiatry, particularly as a psychotherapeutic, psychoeducational, or developmental support intervention. To achieve this, we conducted a comprehensive literature search and identified 38 relevant studies. These studies were categorized based on their utilization of conversational agents, game-based platforms, and robotic systems in psychotherapy and developmental support. To clarify the scope, “AI‑assisted” interventions were defined as structured interventions rely primarily on rule-based or semi-adaptive mechanisms to support therapeutic processes, whereas ‘AI-based’ interventions refer to systems that employ core artificial intelligence functionalities, enabling autonomous data processing and context-sensitive response generation. The findings highlight AI’s potential to enhance therapeutic outcomes, improve accessibility, and deliver personalized interventions. However, ethical considerations, clinician perspectives, and the maintenance of the therapeutic alliance remain critical challenges. Unlike previous reviews that focused on a single AI-based intervention type, this review takes a comprehensive approach by examining the combined impact of chatbots, game-based therapies, and social robots in child and adolescent mental health care. By synthesizing findings across these AI modalities, this review highlights key synergies, such as multimodal engagement, adaptive learning, seamless support across contexts, reinforcement of therapeutic skills, and comprehensive behavioral monitoring. These synergies illustrate how AI-assisted interventions can complement each other, creating a more personalized, engaging, and effective therapeutic experience. Furthermore, by synthesizing recent advancements, this review underscores the need for interdisciplinary collaboration and rigorous evaluation to optimize AI’s role in child and adolescent mental health care. This systematic review is registered with PROSPERO (CRD42025638495, January 27th, 2025).

Indexed as

Adolescent PsychiatryArtificial IntelligenceChild PsychiatryMental DisordersPsychotherapyAdolescentChildHumansIntelligent SystemsArtificial intelligence in child and adolescent psychiatryChatbotConversational agentPsychotherapyRobotics

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.