Impact of AI-Assisted Diagnosis on American Patients' Trust in and Intention to Seek Help From Health Care Professionals: Randomized, Web-Based Survey ...
Authors: C Chen, Z Cui
Published: 2025
Publication: Journal of Medical Internet Research, 2025 - jmir.org
Patients trust and are more likely to seek help from doctors explicitly avoiding AI-assisted diagnosis rather than those using extensive or moderate AI, highlighting a strong aversion to AI in healthcare settings.
Methods: A randomized, web-based 4-group survey experiment was conducted with controls for sociodemographic factors and analysis using regression, mediation, and moderation techniques.
Key Findings: Trust in and intention to seek medical help from health care professionals using AI-assisted diagnosis versus those avoiding AI, and the influence of demographic, social, and experiential factors.
Limitations: Results may be influenced by self-reported data biases, constrained by the hypothetical scenarios in the survey, and may not fully generalize to live healthcare interactions.
Institution: Medical College of Wisconsin
Research Area: Trust in AI, AI-assisted diagnosis, Health communication, Healthcare human-AI interaction
Discipline: Digital Health, Human-Computer Interaction (HCI), Behavioral Science
Sample Size: 1762 participants
Citations: 4
DOI: https://doi.org/10.2196/66083