For years, the NLP Lab empowered healthcare teams with a no-code platform to develop and manage AI in a secure environment. It enabled organizations to create domain-specific models, label data,...
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,...
Converting free-text medical descriptions into structured ontology codes with validation Human phenotypes, observable traits and clinical abnormalities like “short stature” or “muscle weakness” are crucial in diagnosing diseases, especially in...
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