AI-Guided CBT for Depression and Anxiety (AI-CBT-DA)
The Significance of Artificial Intelligence-Guided Psychotherapy of Depression and Anxiety Disorders
This study aims to evaluate the effectiveness of an artificial intelligence (AI)-guided cognitive behavioral therapy (CBT) program for the treatment of mild depression and anxiety disorders in adults.
Depression and anxiety disorders are among the most common mental health conditions worldwide and are associated with significant individual and societal burden. Despite the availability of effective treatments, access to psychotherapy remains limited due to insufficient resources and long waiting times. Digital mental health interventions, particularly those supported by artificial intelligence, have the potential to increase accessibility and scalability of evidence-based treatments.
In this controlled clinical trial, participants diagnosed with mild depressive disorder and/or anxiety disorders will be assigned to either an experimental group receiving AI-guided CBT or a control group receiving standard psychiatric care. The intervention will be delivered through a digital platform and will consist of structured weekly sessions over a 10-week period.
The primary objective of the study is to assess changes in symptoms of depression and anxiety. Secondary outcomes include perceived stress, social support, digital therapeutic alliance, and overall clinical improvement.
The findings of this study are expected to contribute to the understanding of the role of AI in psychotherapy and its potential to improve access to mental health care.
Studie Overzicht
Toestand
Interventie / Behandeling
Gedetailleerde beschrijving
This study is designed as a controlled clinical trial to investigate the effectiveness of an artificial intelligence (AI)-guided cognitive behavioral therapy (CBT) intervention in adults with mild depressive disorder and/or anxiety disorders.
Mental health disorders, particularly depression and anxiety, represent a major public health challenge. Although cognitive behavioral therapy is an evidence-based treatment, access to psychotherapy remains limited in many healthcare systems. AI-guided digital interventions may provide a scalable and accessible alternative or complement to traditional therapy.
Participants aged 18 years and older with a diagnosis of mild depression and/or anxiety disorders, confirmed using a structured diagnostic interview, will be recruited from outpatient services at the University Clinical Center Niš. Eligible participants will be allocated to one of two groups: (1) an experimental group receiving AI-guided CBT through a digital platform, and (2) a control group receiving standard psychiatric care.
The intervention will consist of weekly structured sessions lasting approximately 45-60 minutes over a period of 10 weeks. Sessions will be conducted using a digital platform designed to deliver CBT-based content with guidance from an AI system. The intervention will be conducted in a clinical setting with supervision by trained clinicians.
Assessments will be conducted at baseline, mid-treatment (after 5 weeks), and post-treatment (after 10 weeks). Outcome measures will include standardized scales for depression, anxiety, perceived stress, social support, and digital therapeutic alliance. Clinical global impression scales will also be used to evaluate overall improvement.
The study will also explore mechanisms of change, including the role of digital therapeutic alliance and cognitive-behavioral processes in symptom reduction.
All participants will provide informed consent prior to participation. Data will be anonymized and handled in accordance with ethical and data protection standards.
The results of this study are expected to provide evidence on the clinical utility of AI-guided psychotherapy and inform future integration of digital mental health interventions into routine clinical practice.
Studietype
Inschrijving (Geschat)
Fase
- Niet toepasbaar
Contacten en locaties
Studiecontact
- Naam: Aleksandra Stojanović, MD, PHD candidate
- Telefoonnummer: +381642293541
- E-mail: drakiwatson@gmail.com
Studie Locaties
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Niš, Servië, 18000
- Werving
- University Clinical Center Nis
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Contact:
- Aleksandra Stojanović, MD, PHD candidate
- Telefoonnummer: +381642293541
- E-mail: drakiwatson@gmail.com
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Deelname Criteria
Geschiktheidscriteria
Leeftijden die in aanmerking komen voor studie
- Volwassen
- Oudere volwassene
Accepteert gezonde vrijwilligers
Beschrijving
Inclusion Criteria:
Age 18 years or older Diagnosis of mild depressive disorder and/or anxiety disorder confirmed by a structured clinical interview (MINI) Ability to understand and provide informed consent Access to a device capable of using the digital platform (computer, tablet, or smartphone) Willingness to participate in weekly sessions over a 10-week period
Exclusion Criteria:
Moderate to severe depressive disorder Current or past diagnosis of psychotic disorder Bipolar disorder Substance use disorder or dependence Primary diagnosis of antisocial personality disorder Severe cognitive impairment or inability to use digital tools Acute suicidal risk requiring immediate intervention Concurrent participation in another structured psychotherapy program-
Studie plan
Hoe is de studie opgezet?
Ontwerpdetails
- Primair doel: Behandeling
- Toewijzing: Niet-gerandomiseerd
- Interventioneel model: Parallelle opdracht
- Masker: Geen (open label)
Wapens en interventies
Deelnemersgroep / Arm |
Interventie / Behandeling |
|---|---|
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Experimenteel: AI-Guided CBT
Participants in this group will receive AI-guided cognitive behavioral therapy delivered through a digital platform.
The intervention will consist of structured weekly sessions lasting 45-60 minutes over a period of 10 weeks, conducted under clinical supervision.
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AI-guided cognitive behavioral therapy delivered through a digital platform, consisting of structured weekly sessions over 10 weeks.
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Actieve vergelijker: Traditional CBT
Participants in this group will receive standard psychiatric care, including routine clinical monitoring and treatment as determined by their treating clinician, without access to the AI-guided CBT intervention.
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Cognitive behavioral therapy delivered by a trained therapist in a standard clinical format, consisting of structured weekly sessions over a 10-week period.
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Wat meet het onderzoek?
Primaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
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Change in depressive symptom severity
Tijdsspanne: Baseline, week 5, and week 10
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Change in depressive symptoms measured by the Patient Health Questionnaire-9 (PHQ-9).
Higher scores indicate greater depressive symptom severity.
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Baseline, week 5, and week 10
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Change in anxiety symptom severity
Tijdsspanne: Baseline, week 5, and week 10
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Change in anxiety symptoms measured by the Generalized Anxiety Disorder-7 scale (GAD-7).
Higher scores indicate greater anxiety symptom severity.
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Baseline, week 5, and week 10
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Secundaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
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Change in perceived stress
Tijdsspanne: Baseline, week 5, and week 10
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Change in perceived stress measured by the Perceived Stress Scale (PSS).
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Baseline, week 5, and week 10
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Change in perceived social support
Tijdsspanne: Baseline and week 10
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Change in perceived social support measured by the Multidimensional Scale of Perceived Social Support (MSPSS).
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Baseline and week 10
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Digital therapeutic alliance
Tijdsspanne: Week 10
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Therapeutic alliance measured using the Digital Working Alliance Inventory (D-WAI).
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Week 10
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Clinical global improvement
Tijdsspanne: Week 5, week 10
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Overall clinical improvement measured using the Clinical Global Impression - Improvement scale (CGI-I).
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Week 5, week 10
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Clinical severity of illness
Tijdsspanne: Baseline, week 5, week 10
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Severity of illness measured using the Clinical Global Impression - Severity scale (CGI-S).
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Baseline, week 5, week 10
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Medewerkers en onderzoekers
Sponsor
Studie record data
Bestudeer belangrijke data
Studie start (Werkelijk)
Primaire voltooiing (Geschat)
Studie voltooiing (Geschat)
Studieregistratiedata
Eerst ingediend
Eerst ingediend dat voldeed aan de QC-criteria
Eerst geplaatst (Werkelijk)
Updates van studierecords
Laatste update geplaatst (Werkelijk)
Laatste update ingediend die voldeed aan QC-criteria
Laatst geverifieerd
Meer informatie
Termen gerelateerd aan deze studie
Trefwoorden
Aanvullende relevante MeSH-voorwaarden
Andere studie-ID-nummers
- AI-CBT-UKCNIS-2026 (Andere identificatie: University Clinical Center Niš, Center for Mental Health)
Plan Individuele Deelnemersgegevens (IPD)
Bent u van plan om gegevens van individuele deelnemers (IPD) te delen?
Informatie over medicijnen en apparaten, studiedocumenten
Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel
Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct
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