This study aims to develop a system capable of identifying and classifying medical entities from unstructured biomedical texts, thereby supporting Clinical analysis and health research. The author trained and evaluated three BERT-based models: BioBERT, Clinical BERT, and BlueBERT, for the task of Clinical Named Entity Recognition (CNER). Model performance was measured using precision, recall, a…