Can an algorithm detect skin cancer as well as a dermatologist? Scientists say yes, at least, according to a new study out this week. A group of researchers at Stanford say they have trained AI to be as reliable as human dermatologists at detecting skin cancer and that the technology may someday be able work on smartphones. SEE ALSO: Here's why those tech billionaires are throwing millions at ethical AI The researchers, who published their findings in the journal Nature this week, first trained a neural network using 129,450 photos representing more than 2,000 different types of skin conditions. Using one of Google's image recognition algorithms, the teams says they were able to train the neural network to identify both malignant and benign skin lesions.
Health care doesn't have a big data problem. It has a big data opportunity, thanks to artificial intelligence. Think about the number of inefficiencies in your daily life -- long lines, traffic jams, a reliance on "snail mail" for certain bills or communications. Those inefficiencies are inconvenient and annoying, yes, but they are usually not a matter of life and death. The need for productivity in health care is different.
First Posted: May 06, 2016 10:50 AM EDT Tags Deep Learning, contextual deep learning, artificial intelligence, AI, RAGE Frameworks Contextual deep learning allows artificial intelligence machines to react in a more natural and intelligent way to the real-world auditory, visual or other type of data. Information for and about the digital publishing industry from the leading trade association dedicated to representing the interests of high-quality digital publishers before the advertising community, the press, the government and the public. Includes recent news and latest research on the industry, as well as membership information. Or you might imagine the disembodied voice of HAL, the recalcitrant computer that wouldn't open the pod-bay doors in '2001: A Space Odyssey,' the ... For those betting on the 142nd Kentucky Derby on Saturday, there are several ways to approach the strategy. Last year, Jimmy Fallon's puppies took a stab at it-and correctly predicted the winner, American Pharoah.
The days of a depending on a human doctor may soon be numbered, as the future of the health industry looks increasingly like an AI-assisted scenario. Researchers and startups are developing artificially intelligent systems that are capable of diagnosing disease using a patient's breath and even from the emotional inflection of their voice. Someday, your smartphone may help you and your doctor determine whether a strange-looking lesion on your skin is cancerous or not, thanks to a team of Stanford University scientists that have developed a deep learning algorithm tailored just for the task. Led by Sebastian Thrun, an adjunct professor at the Stanford Artificial Intelligence Laboratory, the team found that their diagnostic tool, which builds upon the same classification technique used by Google to differentiate between images of cats and dogs, performed as well or better than 21 board-certified dermatologists. Their findings were detailed in a recent paper published in Nature.