Powering Precision Medicine with Artificial Intelligence - Intel AI

Healthcare data is projected to grow by 43 percent by 2020, to a hard-to-fathom level of 2.3 zettabytes. Eighty percent of it is unstructured and mostly unlabeled, making it hard for organizations to extract value from the datasets.[1] In the UK, the number of CT scans increased by 33% between 2013 and 2016 while the number of radiologists only increased by 3% per year. There are several studies that show that when radiologists are forced to work faster, their average interpretation error rate rises and can have a significant impact on patient care.[2] The cost of developing a new drug averages around $2.5 billion, and the process itself can take more than 10 years -- a huge barrier to the development of targeted treatments.[3] Healthcare data is projected to grow by 43 percent by 2020, to a hard-to-fathom level of 2.3 zettabytes.