Wednesday, 27 February 2019

Recognizing disease using less data

As artificial intelligence systems learn to better recognize and classify images, they are becoming highly-reliable at diagnosing diseases, such as skin cancer, from medical images. But as good as they are at detecting patterns, AI won't be replacing your doctor any time soon. Even when used as a tool, image recognition systems still require an expert to label the data, and a lot of data at that: it needs images of both healthy patients and sick patients. The algorithm finds patterns in the training data and when it receives new data, it uses what it has learned to identify the new image.

* This article was originally published here