Computer Vision News Computer Vision News 42 Datasets through the L king-Glass David Restrepo is a PhD student in Applied Mathematics at the Mathematics and Computer Science Lab (MICS) at CentraleSupélec, University of Paris-Saclay. His research focuses on fairness and bias in medical AI, with a particular emphasis on multimodal approaches. Health disparities are also a challenge in Ophthalmology, because the equipment necessary to obtain high quality data from the retina is not available for everyone. Obtaining data which is of high quality and fair is essential to provide reliable care for visual impairments, but also for people with cardiovascular diseases or diabetes. Therefore, the presented work address these challenges through the development of three open and representative datasets: BRSET, mBRSET, and Multi-OphthaLingua. These resources capture diverse retinal images and associated demographic and clinical data from Latin America and beyond, enabling systematic benchmarking of AI performance across geographic, socioeconomic, and linguistic dimensions. Want to take a closer look into this interesting topic? The entire talk can be found on YouTube:
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