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Rethinking the labor-intensive process of medical AI labeling.
Labeling has long been used extensively in building AI/ML algorithms. The idea is to apply the minds and knowledge of professionals to teach AI/ML models to learn from experts. In medical AI specifically, labeling typically involves identifying and marking the "Area of Interest" (AoI) as "positive" for the model to learn from.
This process has relied on an army of pathologists dedicating their time and effort to this labor-intensive work, carefully reviewing and annotating countless images by hand. Wellgen deeply appreciates this contribution, while recognizing that this traditional approach carries real limitations in scalability and efficiency as the demand for AI-ready medical data continues to grow.
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