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Evidence record 12348 · automatically gathered

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

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 but also on public perceptions of its helpfulness, riskiness, and fairness. This study examines public perceptions of automated decision-making (ADM) in healthcare. Data were drawn from the first wave of an ongoing longitudinal survey panel. The final sample consisted o

Record details

Published: 21 July 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Healthcare
Retrieved: 22 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (21 July 2026), “Public perceptions of AI-driven decision-making in healthcare: A structural equation modeling approach,” evidence record 12348, https://ethics.ai/record/12348 (originally published by arXiv).

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