ArticleHealth affairs scholar2026
Trends in perception of generative AI in healthcare by US adult demographics and political identity.
Article in Health affairs scholar, 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
Introduction: Generative AI (genAI) is rapidly entering healthcare, but public comfort may vary in ways that could undermine equitable adoption. Methods: Using two independent cross-sectional survey waves of US adults conducted in May 2023 ( Results: The percentage of respondents reporting they had heard "a lot" about genAI rose from 26.5% (95% confidence interval [CI]: 24.5, 28.5) to 42.9% (95% CI: 40.6, 45.3), yet overall comfort with AI-led primary care and AI-led therapy changed minimally (-1.0 and -0.7% points, respectively). Subgroup trends diverged sharply by political identity, age, and race. Notably, Republicans trended more favorably from 2023 to 2025 while Democrats declined (interaction odds ratios across the four measures ranging from 1.69 [95% CI: 1.19, 2.39] to 2.11 [95% CI: 1.54, 2.90]). Conclusion: Emerging divides suggest receptivity to genAI in healthcare may become increasingly shaped by political identity rather than clinical evidence or personal experience, complicating equitable deployment.
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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.