Patients Prefer Transparent AI Device Labels
A 2026 Mayo Clinic–led study surveyed 340 US patients via ResearchMatch.org to test simulated AI cardiovascular device labels and identify information that influences trust and acceptance. Labels showing regulatory approval, high device performance, provider oversight, and AI's added value increased trust by about 14.1%–19.3% and acceptance by 13.3%–17.9%; privacy information was less influential. Results suggest tailored, transparent labeling improves patient comprehension, credibility, and intention to use AI-enabled care.
Key Points
- 1Identify regulatory approval, device performance, provider oversight, and added value increasing trust by 14–19%.
- 2Show improved label credibility and effectiveness (OR 1.35–2.05) and reduced doubts (OR 0.61–0.77).
- 3Recommend tailoring label content to patient familiarity, health literacy, and recency of medical care.
Scoring Rationale
Empirical, peer-reviewed study provides actionable evidence for labels, but limited sample size and domain focus constrain broader generalizability.
Sources
Public references used for this report.
Practice with real Health & Insurance data
90 SQL & Python problems · 15 industry datasets
250 free problems · No credit card
See all Health & Insurance problems
