ArticleFrontiers in psychology2026
Can users trust AI doctors? Unpacking the dual credibility pathways linking AI chatbot use to AI health advice adherence intention.
Article in Frontiers in psychology, 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
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the rapid integration of artificial intelligence (AI) into healthcare, AI doctor chatbots have emerged as increasingly prevalent tools for health information acquisition and health management. However, existing research has paid insufficient attention to how AI doctor utilization is associated with AI healthcare users' credibility judgments and subsequent AI health advice adherence intention. To address this research gap, this study examines the relationship between AI doctor utilization and AI health advice adherence intention, with a particular focus on the mediating roles of perceived honesty and ability credibility, as well as the moderating role of anxiety sensitivity. A questionnaire survey was conducted among participants from various regions of China, and 224 valid responses were retained after data cleaning. SmartPLS 4.0 was used for data analysis. The results show that AI doctor utilization is significantly and positively associated with both perceived honesty and ability credibility, which, in turn, are positively associated with AI health advice adherence intention. Additionally, perceived honesty and ability credibility play mediating roles in the relationship between AI doctor utilization and AI health advice adherence intention. Regarding the moderating effect, anxiety sensitivity negatively moderates the relationship between perceived honesty and AI health advice adherence intention, while positively moderating the relationship between ability credibility and AI health advice adherence intention. These findings provide nuanced insights for designing anxiety-sensitive AI healthcare services by tailoring credibility cues to users' psychological characteristics and promoting appropriate reliance on AI-generated health advice.
Indexed as
Identifiers
What 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.