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Lara García-Delgado, Miguel Luengo-Oroz, Daniel Cuadrado, María Postigo; Crowdsourcing Visual Search in the real world: Applications to Collaborative Medical Image Diagnosis. Journal of Vision 2019;19(10):8c. doi: https://doi.org/10.1167/19.10.8c.
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We will present the MalariaSpot.org project that develops collective tele-diagnosis systems through visual search video games to empower citizens of all ages to collaborate in solving global health challenges. It is based on a crowd-computing platform, which analyses medical images taken by a 3D printed microscope embedded in a smartphone connected to the internet, using image processing and human crowdsourcing through online visual search and foraging video games. It runs on the collective power of society in an engaging way, using visual and big data sciences to contribute to global health. So far more than 150.000 citizens around the world have learnt and contributed to diagnosis of malaria and tuberculosis. The multidisciplinary nature of this project, at the crossroads of medicine, vision science, video games, artificial intelligence and education, involves a diverse range of stakeholders that requires tailoring the message to each discipline and cultural context. From education activities to mainstream media or policy engagement, this digital collaboration concept behind the project has already impacted several dimensions of society.
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