Scientists have found yet another way that Artificial Intelligence may replace humans. Stanford University researchers developed an algorithm for detecting skin cancer that's as accurate as a diagnosis from a human dermatologist, according to the study published in the science journal Nature. Led by graduate students in Stanford's Artificial Intelligence Laboratory, Andre Esteva and Brett Kuprel, 130,000 images of skin lesions representing more than 2,000 different diseases were collected. A team of 21 dermatologists analyzed photos that had already been verified for biopsies and determined whether treatment was needed. One experiment teststed the most common types of skin cancer while the other tested the deadliest.