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

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 literacy
• artificial intelligence
• automated decision-making
• Conversational Agents to Improve Quality of Life in Palliative Care
• healthcare
• structural equation modeling

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