# Clinical NLP

EriBERTa is a bilingual domain-specific language model pre-trained on a massive corpus of clinical medical texts. It surpasses all previous Spanish-language models in the clinical domain, demonstrating exceptional medical text comprehension and information extraction capabilities.

CXR-BERT is a specialized language model developed for the chest X-ray domain, optimized for radiology text processing through improved vocabulary and pretraining procedures

Clinical BERT model initialized from BioBERT, specifically trained on MIMIC discharge summaries

en_core_med7_trf is a clinical natural language processing model based on spaCy, specifically designed to identify and classify medication-related named entities from electronic health records.