Inclusive Artificial Intelligence for Accessible Medical Imaging Across Resource-Limited Settings

AIMIX will develop the first scientific framework for inclusive imaging AI in resource-limited settings

Project validated in rural Africa, specifically in Kenya



Why AIMIX?

In the age of Big Data and digital health, great excitement has been generated around the extraordinary opportunities that artificial intelligence (AI) may offer in tomorrow’s healthcare. In particular, deep learning-based methods have shown great promise for the analysis of complex biomedical data. In medical imaging, deep learning has already made an impact in a wide range of applications such as cardiology, cancer or brain imaging among many others. However, existing developments have been mostly focused on applications in high-resource settings, where there is greater access to large clinical imaging datasets for training deep learning networks. Applications in environments with limited resources, such as countries across the African continent, have been scarce. Thus, there is a risk of increasing inequalities in global health due to the disparities in the application of AI in medical imaging.




NEWS


AIMIX represented at the 66th International Nurses Association Conference



Our Clinical Research Associate, Emily Mwadime, represented us and Aga Khan University‘s Centre of Excellence in Women and Child Health, East Africa, at the 66th International Nurses Association Conference, that focused on the theme of digital innovation. She presented her abstract on ‘Leveraging Digital Innovation for Enhanced Midwifery Care: Insights from the Tracer and AIMIX […]


2nd place at Early-Career Health Researchers’ Symposium!



Congratulations to our two AIMIX Kenya stars, Emmah Ng’ang’a and Stacey Otieno, who presented at the Aga Khan University Early-Career Health Researchers’ Symposium showcasing our impactful research in AI and Maternal Health and emerged Runners-Up. We are proud of you!






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