According to stakeholders, future applications of deep learning can extend beyond imaging data to analyze EHRs, pathology and cellular microscopy data to help develop targeted drugs and achieve greater precision in treatments.

According to one stakeholder, AI’s ability to process and interpret vast amounts of data will spread across healthcare as a major advantage in 2019 and beyond.

To maximize availability and accessibility, the cloud is increasingly a major means for the deployment of AI applications. 

According to the company, 90 percent of healthcare data comes from imaging, but just 3 percent of that data gets analyzed or put to work.