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NCT Number: NCT07576686

AI-Guided CBT for Depression and Anxiety

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.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

University Clinical Center Niš

Niš, 18000, Serbia

Location status: Recruiting

Location contact

Aleksandra Stojanović, MD, PHD candidate

CONTACT

[email protected]

+381642293541

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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-

Treatment and study plan

AI-Guided Cognitive Behavioral Therapy

Behavioral

AI-guided cognitive behavioral therapy delivered through a digital platform, consisting of structured weekly sessions over 10 weeks.

Cognitive Behavioral Therapy (CBT)

Behavioral

Cognitive behavioral therapy delivered by a trained therapist in a standard clinical format, consisting of structured weekly sessions over a 10-week period.

Primary outcomes

  1. Change in depressive symptom severity

    Time frame: Baseline, week 5, and week 10

    Change in depressive symptoms measured by the Patient Health Questionnaire-9 (PHQ-9). Higher scores indicate greater depressive symptom severity.

  2. Change in anxiety symptom severity

    Time frame: Baseline, week 5, and week 10

    Change in anxiety symptoms measured by the Generalized Anxiety Disorder-7 scale (GAD-7). Higher scores indicate greater anxiety symptom severity.

Secondary outcomes

  1. Change in perceived stress

    Time frame: Baseline, week 5, and week 10

    Change in perceived stress measured by the Perceived Stress Scale (PSS).

  2. Change in perceived social support

    Time frame: Baseline and week 10

    Change in perceived social support measured by the Multidimensional Scale of Perceived Social Support (MSPSS).

  3. Digital therapeutic alliance

    Time frame: Week 10

    Therapeutic alliance measured using the Digital Working Alliance Inventory (D-WAI).

  4. Clinical global improvement

    Time frame: Week 5, week 10

    Overall clinical improvement measured using the Clinical Global Impression - Improvement scale (CGI-I).

  5. Clinical severity of illness

    Time frame: Baseline, week 5, week 10

    Severity of illness measured using the Clinical Global Impression - Severity scale (CGI-S).

Study contacts

Contact information is provided by the study sponsor or research team.

Aleksandra Stojanovic, MD, PhD Candidate

CONTACT

[email protected]

+381642293541

Sponsors and collaborators

Lead sponsor

Aleksandra Stojanovic

Other

Registry information

Official study title

The Significance of Artificial Intelligence-Guided Psychotherapy of Depression and Anxiety Disorders

Acronym: AI-CBT-DA

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
May 8, 2026
Registry last updated
May 8, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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