stanford-deidentifier-base is a fine-tuned BERT model developed by Stanford AIMI for token classification. It identifies protected health information (PHI) in biomedical and radiology text. The model is distributed on Hugging Face and can be used with the Transformers library for research, clinical data processing, and compliance workflows.
Stanford Deidentifier Base is an Other AI project. Automatically detecting and de-identifying protected health information in clinical notes and radiology reports to enable safe data sharing. Stanford Deidentifier Base is an open-source project aimed at developers. The project is open source (Apache-2.0). Stanford Deidentifier Base is available on the web and API.
Stanford AIMI builds and maintains Stanford Deidentifier Base, and it first shipped in 2022. Development happens publicly on GitHub with 107 stars. Key capabilities include Token Classification, PHI Detection, and Medical Text Processing.
Summary written by a language model from the project’s public pages.
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