acePublic perspectives on artificial intelligence in healthcare in the USA: a cross-sectional survey
Objective To evaluate public perspectives on artificial intelligence (AI) in healthcare in the USA and assess variation in trust, comfort and perceived fairness across demographic groups. Methods and analysis This cross-sectional survey of US adults was conducted between 21 November and 4 December 2025, via YouGov, a private public opinion research firm, using a non-probability-based online panel. The sample included 500 general population respondents and an oversample of 750 adults aged 60+. Survey weights were…
Only about a quarter of weighted US respondents felt comfortable with their provider using AI, and most preferred a provider over a chatbot for explaining care plans, which suggests deployment is outpacing public trust.
The survey used a non-probability-based online panel, weighted only to approximate the US adult population, and the cross-sectional design captures attitudes at one point in time.
Evidence
- Peer-reviewedBMJ Digital Health & AI2026-10-05
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Truvace Impact Record TRV-2026-1843, v1: “Public perspectives on artificial intelligence in healthcare in the USA: a cross-sectional survey.” Truvace, 2026-10-18. /record/TRV-2026-1843 (accessed at citation time). sha256 64d726ff615d0fcc…
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