# Clinical Entity Recognition

RigoBERTa Clinical Edition is the state-of-the-art encoder language model for the Spanish clinical domain, developed through domain-adaptive pretraining on the largest publicly available Spanish clinical corpus, ClinText-SP.

A clinical named entity recognition (NER) model fine-tuned on the i2b2-2010 dataset, specifically designed to identify three types of clinical entities: diseases, treatments, and examinations.

Portuguese biomedical language model based on BERT architecture, specifically designed for processing biomedical literature