Stanford Researchers Develop Tool for Semantically Interpreting Medical Images


Lia Steakley of the Scope Blog recently wrote, "A web-based tool created by researchers at Stanford enables physicians and researchers to better interpret the wealth of data contained in medical images by capturing information in a way that is explicit and computationally accessible. The tool, called electronic Physician Annotation Device (ePAD), was developed by the Rubin Lab at the School of Medicine and is available to download for free. Daniel Rubin, MD, an assistant professor of radiology, and his team initially designed ePAD in response to an unmet need in cancer imaging, but he says the tool can be used more generally quantitatively evaluate images and characterize disease."

Rubin is currently in the process of launching a pilot project of the system at the Stanford Cancer Institute. As part of the project, ePAD will be used to assess treatment success for patients who are matched to clinical trials using a smart database. Clinicians and researchers at other institutions have also begun using the tool, and Rubin hopes to expand its reach to create a vast, searchable medical image database… After downloading the platform, users can use its graphical interface to review images, make measurements and record semantic annotations. Information is stored in compliance with standards developed by the National Cancer Institute’s Annotation and Image Markup (AIM), which means physicians can use the tool to access other related imaging studies even if they weren’t interpreted using ePAD. Additionally, annotations can be saved in a range of formats so content can be easily and automatically searched across medical records systems, hospital image archives and the Semantic Web."

Read more here, or watch the below video for more.