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. 2023 Mar 2;29(3):738–747. doi: 10.1038/s41591-023-02225-7

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 5 — a, Simplified decision tree for MPXV infection risk stratification derived from WHO case definitions with the addition of an AI-assisted case definition based on predictions of the MPXV-CNN. An IDE was used to create and update the survey for risk stratification (boxes) based on these questions (rhombuses), logical expressions (arrows) and the MPXV-CNN (rhombus with a brain and AI model). An API distributed the most up-to-date survey, logical expressions and MPXV-CNN to web-based apps. b, The web-based app ‘PoxApp’ implemented the PRS for end users allowing them to answer surveys and take photos of their skin lesions and get personalized recommendations, such as MPXV testing or vaccination. c, Component for voluntary data donation with an API to collect, anonymize and store data in a central database. d, New evolving models with higher sensitivity and specificity could potentially be created based on new user data. API, application programming interface.