Artificial intelligence (AI)–enabled devices are increasingly used in health care. There has been limited research on patients’ informational preferences, including which elements of AI device labeling enhance patient understanding, trust, and acceptance. We recruited 340 US patients to participate in a web-based survey that contained 2 experiments. The participants indicated preferences in terms of trust and acceptance regarding of simulated AI device labels that varied across of information needs identified in our previous qualitative work.
The information about regulatory approval, high device performance, provider oversight, and AI’s value added to usual care significantly increased the likelihood of patient trust and acceptance. The patients reported good label comprehension, and that information about provider oversight, regulatory approval, device performance, and AI’s added value improved perceived credibility and effectiveness of the AI labelHowever, information about data privacy and safety management protocols was less influential.
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