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What Are Foundation Models Doing for Pathology?

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Deep learning is transforming pathology by enhancing the interpretation of microscopic images. Traditional methods required extensive model training per use case, slowing progress. Foundation models offer a more efficient approach, training on diverse datasets to create embeddings that reduce the need for labeled data. These embeddings allow for rapid development of task-specific models capable of addressing various clinical questions, thus aiding pathologists in decision-making and improving patient outcomes. As digital pathology gains traction, the integration of AI tools can further upscale diagnostic accuracy and efficiency.

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