SkincAIr is developing an advanced AI model for detecting skin conditions using medical images. This technology uses deep learning to analyse images of the skin captured via smartphone and provide accurate diagnostic support to frontline healthcare workers, particularly in low- and middle-income countries where medical resources are limited.
Our goal is to improve the early detection of skin NTDs, inform treatment decisions, and ultimately reduce their impact by enabling faster and more reliable diagnoses. The model is trained using diverse datasets collected from multiple regions to ensure an optimal performance across different skin tones, age groups, and geographic backgrounds
TeaCup Lab is leading Work Package 1 (WP1), which focuses on culturally informed user research. The aim of their work is to ensure that the SkincAIr app is developed with a thorough understanding of the cultural, social and contextual factors affecting frontline healthcare workers and patients in sub-Saharan Africa.
To succeed in their tasks, TCL is responsible for the following, among other things:
