What is HIPAA-compliant de-identification with human-in-the-loop AI? HIPAA-compliant de-identification with human-in-the-loop (HITL) workflows combines AI predictions with structured human oversight to ensure sensitive health data is anonymized with the highest...
Say Goodbye to Typos and Spelling Errors: Fix Them at Scale with Spark NLP and Python Correcting Typos and Spelling Errors is an important task in Natural Language Processing (NLP)...
Developed by John Snow Labs, Healthcare NLP is the leading platform for clinical and biomedical language processing. While new versions roll out every 2–4 weeks, 6.1 stands out as one of...
We used John Snow Labs’ Healthcare NLP & LLM library to train a custom Named Entity Recognition (NER) model that automatically extracts key medical entities from clinical text, including vaccine...
John Snow Labs and AWS HealthImaging collaborate to provide a cutting-edge solution that enables secure, customizable de-identification of DICOM files, ensuring compliance while preserving the usability of medical data for...
Demos
See More