In the CACM:
" .... Oak Ridge National Laboratory (ORNL) researchers are applying deep-learning techniques to automate how information is collected from cancer pathology reports documented across a nationwide network of cancer registry programs.
Georgia Tourassi, director of the Health Data Sciences Institute at ORNL, led a team focused on software that can identify valuable information in cancer reports faster than manual methods.
The machine-learning technique leverages algorithms, big data, and the processing power of the Titan supercomputer at the Oak Ridge Leadership Computing Facility. Using a dataset of nearly 2,000 pathology reports, researchers trained a deep-learning algorithm to simultaneously carry out two closely related tasks. .... "