Clinical Named Entity Recognition (CNER) is a critical task in natural language processing (NLP) aimed at extracting medical entities from complex biomedical texts. The main challenges in this task lie in the complexity of sentence structures and the highly variable medical terminology. This study focuses on the development and evaluation of CNER models based on the Transformer architecture, sp…