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AI in Healthcare: Public Trust Hinges on Clinicians, Not Just Tech

By PulseAugur Editorial · [1 sources] ·

A new study utilizing structural equation modeling analyzed data from 3,915 survey respondents to understand public perceptions of AI in healthcare. The research found that familiarity with AI, confidence in clinicians' ability to discern AI-generated content, and the use of conversational agents for health information were associated with greater perceived helpfulness of AI decision-making. Conversely, reliance on traditional health information sources and general AI familiarity were linked to higher perceived risk. AI

IMPACT Public trust in AI healthcare tools is more dependent on confidence in human oversight than on the technology itself.

RANK_REASON Academic paper published on arXiv detailing research findings. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI in Healthcare: Public Trust Hinges on Clinicians, Not Just Tech

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Academic paper published on arXiv detailing research findings. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Leonie Westerbeek, Ernesto de Leon, Julia C. M. van Weert ·

    Public perceptions of AI-driven decision-making in healthcare: A structural equation modeling approach

    arXiv:2607.18884v1 Announce Type: cross Abstract: Artificial intelligence (AI) is increasingly integrated into healthcare to support diagnostics, decision-making, and administrative processes. However, the successful implementation of AI depends not only on technical performance …

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