Researchers rely on medical imaging curation for artificial intelligence (AI) initiatives that accelerate discovery. In such big data projects, many scientists devote a majority of their time to data preparation, leaving minimal availability for research and analysis. Managing data at the scale needed for AI requires complex workflows and modern software solutions that maintain data quality, privacy, and compliance.
Download this white paper from Flywheel to learn five ways that modern medical imaging infrastructure optimizes big data processing.