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Machine learning (ML) is now capable of assisting medical professionals in diagnosing critical cases like diabetic eye disease and metastatic breast cancer.

No matter how improved the algorithms are, they will be useless unless a doctor finds the data sensible. So how doctors interact with information can be crucial determinants in the utility of ML technology.

Traditionally pathologists take reference of their colleagues and other sources like textbooks to examine the problem at hand. It can be an image of a cancer scan or of that of blunt trauma. Modern-day technology enables the computers to skim through thousands of images and retrieve information which is the closest to the query. For example, the reverse image search option in Google images. 

Now, there is widespread adoption of ‘digital pathology’. The clinicians can now examine the data received as images on a computer. And, can draw insights from it making the whole process of diagnosis relatively easy.

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