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Early detection and management of SKIN-related negleCted tropical diseases using Artificial Intelligence in sub-saharan afRica (SkincAIr)

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Early detection and management of SKIN-related negleCted tropical diseases using Artificial Intelligence in sub-saharan afRica (SkincAIr) The SkincAIr project aims to develop an innovative AI-driven mobile application to support the early detection and of skin Neglected Tropical Diseases (skin NTDs) in Sub-Saharan Africa (SSA). NTDs significantly affect marginalized communities due to several factors, such as lack of trained healthcare staff and diagnostic tools. The project's objectives are: to improve the accuracy of Front-line Health Workers (FHW) of skin NTD identification, to create the largest public dataset of skin NTDs in the world (first in SSA), to reduce disease transmission through early diagnosis, to enhance real-time epidemiological surveillance, to enhance the knowledge of FHW, to develop novel AI models for skin disease monitoring, to ensure the digital solution is culturally tailored, to ensure compliance with clinical practices, ethical, legal aspec

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recordType

award

status

SIGNED

region

EU

value

4926027.2

unit

EUR