Examples scripts that showcase how to use Private AI Text to de-identify, redact, hash, tokenize, mask and synthesize PII in text.

Deduce: de-identification method for Dutch medical text

Robust de-identification of medical notes using transformer architectures

Application and python script to identify, remove, and/or recode personally identifiable information (PII) from field experiment datasets.

Identify and tokenize sensitive data automatically using Cloud DLP and Dataflow

👥 An R package for deidentifying datasets that may contain personally identifiable information (PII)

NIST Collaborative Research Cycle on Synthetic Data. Learn about Synthetic Data week by week!

The open source PII and PHI redaction engine

detection of burned in pixels using OCR (under development)

A python client used to interact with the Private AI's API

Privacy-preserving representations of training data for de-identification

De-identifying CDISC SDTM data by Phuse rules using SAS

Deidentify Healthcare Transactions fast!

Privacy & Security Lab

SMITH FHIR Transfer Services

Delete the label image to deidentify a whole-slide image (WSI)

Simple anonymizer for any structured data

De-Identification of Clinical Admission Notes using BiLSTM and Embedded Languages Models (ELMo) as Word Representation

Delete the label image to deidentify a whole-slide image (WSI) with an optional GUI

Philter finds and manipulates sensitive information in text.