Artificial intelligence relies heavily on algorithms – a set of computer instructions to accomplish a task. But the power actually comes from the data. Here’s why:
The type of AI we use for analyzing pathology images is called machine learning. Just as pathologists study and learn from reviewing many tissue samples, machine learning finds patterns in large, detailed images and learns to associate the patterns with different labels. A label can be used to group patients sharing a common characteristic, like a particular biomarker, or it could group a set of pixels assigned to the same type of object, like tumor tissue.
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