Awareness of AI accuracy, error rates, and advertising affect women's out-of-pocket willingness to pay for AI-supported mammography.
Key Details
- 1Study included 2,534 women over age 40 considering AI-assisted breast cancer screening.
- 2Willingness to pay increased with exposure to AI advertisements (26.5%) and high accuracy rates (25.3%).
- 3Willingness dropped with AI error rate disclosure: 14.2% (good error rates) and 7% (poor error rates).
- 4Lower AI price points saw higher willingness: 24.4% at $50, 17.1% at $200, 13.4% at $500.
- 5No significant link between personal breast cancer concern and willingness to pay under different conditions.
- 6Most women desired AI as a supplement to, not a replacement for, radiologists.
Why It Matters
As AI tools become more integrated into mammography, understanding patient attitudes toward AI pricing and accuracy is crucial for ethical adoption and reducing disparities. Radiology practices can use these insights to inform communication strategies and policy as AI interpretation becomes more prominent.
Source
AuntMinnie
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