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. 2022 Aug 22;101(11):1350–1356. doi: 10.1177/00220345221113756

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© International Association for Dental Research and American Association for Dental, Oral, and Craniofacial Research 2022

This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

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Figure 3. — Value-of-information analysis. The overall expected value of perfect information (EVPI) and the expected value of partial perfect information (EVPPI) for specific parameters were plotted against the willingness-to-pay threshold of a payer. The EVPI and EVPPI indicate the monetary value of being able to make better decisions (avoid more costly or less effective decisions) based on better overall or partial information. EVPPI was estimated for the available data for training the artificial intelligence (AI) (affecting accuracy and its uncertainty), the risk profile (caries prevalence) of the population of interest, and the costs of AI (4–12 euros per application). For the latter, the EVPPI was 0 euros regardless of the threshold and hence not shown. The range of willingness to pay was expanded from 0 to 100 euros.