This RoBERTa model was fine-tuned on the i2b2 de-identification dataset for token classification. Its primary use is to identify and mask personally identifiable information (PHI) in clinical text to help comply with privacy regulations. It is available on Hugging Face and can be used with the Transformers library for clinical NLP pipelines.
Deid Roberta I2b2 sits in PulseGate's Other AI category. Automatically detecting and redacting protected health information from clinical notes. Deid Roberta I2b2 is an open-source project aimed at developers. The project is open source (MIT). Deid Roberta I2b2 is available on the web and API.
Behind Deid Roberta I2b2 is OBI, and the product first shipped in 2022. The project is developed in the open on GitHub with 63 stars.
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