Artificial Intelligence for Retinopathy of Prematurity Screening

DeepMind scientists began with old-school Atari games. Using deep and reinforcement learning, they developed an artificial intelligence (AI) program that learned to play Breakout, Pong, and other games at super-human levels after being provided only display-pixels data and scores; see how remarkably quickly it learned at https://www.youtube.com/watch?v=EfGD2qveGdQ. They caught the eyes of Google executives, who promptly bought the company and convinced them to tackle the 3000-year-old game of Go. Go was an elusive goal for AI researchers, who had primarily used game-tree-search approaches that could not handle Go ’s complexity. The number of possible board configurations in this deceptively simple-ruled game is estimated to be 10170, about 1090 times greater than the number of atoms in the known universe. Using machine learning similar to the Atari project, DeepMind developed AlphaGo, which learned first f rom human-expert games and then self-play. In 2015, AlphaGo became the first AI to defeat a human Go master. In 2016, AlphaGo defeated 8-time world champion Lee Sedol in an AI landmark event that inspired a movie.
Source: JAMA Ophthalmology - Category: Opthalmology Source Type: research