Yes, many medical Named Entity Recognition (NER) methods leverage pre-trained language models as a foundational component of their approach.
Pre-trained language models are general-purpose models trained on vast amounts of diverse text data to learn the patterns and structures of language.
These models, like BERT (Bidirectional Encoder Representations from Transformers) and others, capture semantic relationships and contextual information in a language-agnostic manner.