[Image courtesy of Flywheel]
Medical device companies have massive amounts of data, but often, imaging data isn’t set to support R&D efforts. Here’s how to change that.Jim Olson, Flywheel
Data is the lifeblood of R&D groups at medical device companies. However, unlocking the full potential of your organization’s data assets isn’t straightforward, especially for complex data such as medical imaging.
Medical imaging assets are extremely valuable for R&D efforts, but they are often disorganized and lack consistent labeling. This means that before they can be used for analysis and/or for machine learning or AI applications, they must be standardized and made accessible.
But curating complex medical imaging data poses a major challenge in many organizations. Even after data are organized, existing infrastructure and research processes can continue impeding success, and ultimately time …