ArticleClinical psychology & psychotherapy
Who Wants to Have an AI Therapist? Acceptance of Using Artificial Intelligence for Mental Health Interventions Among Clinicians, Patients and the General Community.
Article in Clinical psychology & psychotherapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07666672 (Randomized Controlled Trial of the BraveBot Intervention as an Adjunctive Treatment for Young People With Anxiety and Related Disorders Receiving Outpatient, Exposure-Based Cognitive Behavioral Therapy), which is not on this map. Cited by 2 papers.
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.
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.
Randomized Controlled Trial of the BraveBot Intervention as an Adjunctive Treatment for Young People With Anxiety and Related Disorders Receiving Outpatient, Exposure-Based Cognitive Behavioral Therapy
Who cites it
2 citing papers in PubMed.
- A bridge, not a destination: YouTube viewer perspectives on AI mental health support and human therapy.Frontiers in digital health · 2026Article
- Who Wants to Have an AI Therapist? Acceptance of Using Artificial Intelligence for Mental Health Interventions Among Clinicians, Patients and the General Community.Clinical psychology & psychotherapyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The integration of AI-based digital technologies in mental healthcare represents a transformative shift, especially with regard to chatbots and avatar-based interventions. A central component of the success of AI-based digital mental health interventions has to do with the level of acceptance of this new technology: the degree to which stakeholders perceive a technology as useful, user-friendly and worth adopting. We aimed to establish the level of acceptance of AI-based digital mental health interventions (AI chatbot, AI avatar-based interventions) compared with the acceptance levels of teletherapy via videoconferencing among clinicians, patients and a representative community sample (i.e., potential future patients). We also explored the extent to which these differences towards these technologies might be explained by individuals' attitudes towards AI in general. Clinicians (N = 658), patients (N = 451) and US census-based community sample (N = 520) completed standardised measures of everyday artificial intelligence use, general attitudes towards AI and acceptability of digital technology use for mental health interventions. We found that community participants are most optimistic about AI-based mental health tools (chatbots and avatars), whereas clinicians consistently express more scepticism, especially regarding usability. In our sample, general attitudes towards AI (both positive and negative) were highly associated with acceptance of chatbot and avatar-based interventions, more than their professional role or demographic identity. These findings might carry clinical implications for the design, deployment and integration of these technologies into mental health services.
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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.