Discover the low-level, hands-on steps of de-identifying SVS and DICOM medical images using Visual NLP, focusing on PHI hidden in metadata and pixels. Part 1
What to Know Before De-identifying Whole Slide Images (WSI) Discover the low-level, hands-on steps of de-identifying SVS and DICOM medical images using Visual NLP, focusing on PHI hidden in metadata...
The Challenges of Regulatory-Grade De-Identification at Scale Healthcare organizations face a critical dilemma: vast volumes of patient data: free-text notes, structured fields, clinical images, even audio/video are invaluable for research,...
For a more in-depth exploration of AWS Health Imaging De-identification, including expanded technical details, best practices, and real-world healthcare applications, see our updated and comprehensive article: AWS Health Imaging De-identification....
As healthcare organizations increasingly rely on unstructured data like clinical notes, pathology reports, and discharge summaries, de-identifying patient information becomes mission-critical. Whether for research, AI training, or compliance, healthcare providers...
In today’s hyper-connected world, every organization is a data company, whether they realize it or not. From hospitals and banks to startups and SaaS platforms, sensitive data flows through every...
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