Objectives This comparative analysis aims to assess the efficacy of encoder Language
Models for clinical tasks in the Spanish language. The primary goal is to identify the most …

Background Clinical narratives are essential components of electronic health records. The
adoption of electronic health records has increased documentation time for hospital staff …

Background The large volume of medical literature makes it difficult for healthcare
professionals to keep abreast of the latest studies that support Evidence-Based Medicine …

Word embeddings have been widely used in Natural Language Processing (NLP) tasks.
Although these representations can capture the semantic information of words, they cannot …

Here we describe a new clinical corpus rich in nested entities and a series of neural models
to identify them. The corpus comprises de-identified referrals from the waiting list in Chilean …

Abstract Named Entity Recognition (NER) is an important task in Natural Language
Processing that aims to identify text spans belonging to predefined categories. Traditional …

Background Natural language processing (NLP) enables the extraction of information
embedded within unstructured texts, such as clinical case reports and trial eligibility criteria …

Annotated corpora are essential to reliable natural language processing. While they are
expensive to create, they are essential for building and evaluating systems. This study …

PURPOSE A critical task in oncology is extracting information related to cancer metastasis
from electronic health records. Metastasis-related information is crucial for planning …