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LeukoBIAS focuses on identifying and reducing biases in AI models used for leukemia detection. By analyzing a large dataset of over 6000 patients, the project aims to improve diagnostic accuracy and fairness in medical AI applications.
Foundation models have revolutionized image processing in healthcare, offering robust performance across various tasks without task-specific training.
However, potential biases in these models, especially when applied to critical medical diagnostics such as leukemia detection, remain largely unexplored.
LeukoBIAS aims to address this crucial gap by developing a framework for analyzing and mitigating bias in foundation model-based leukemia detection algorithms.Building on my previous work in AI-d…
HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH
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