2 Nature studies illustrate the ability of AI to dive deeper into medical images and pathology

In two separate studies, researchers have used machine learning to train computers to spot and classify cells as well as their hidden, internal structures and DNA by using images alone. For a specific example, NYU researchers using an open source, the deep neural network developed by Google have taught an algorithm to differentiate between two types of lung cancer and underlying genetic mutations, by visually analyzing slide images of tumor samples. The technology could provide an important second opinion when deciding on a course of treatment.

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