This study aims to improve the accuracy and quality of large-scale language models (LLMs)
in answering questions by integrating Elasticsearch into the Retrieval Augmented …

Clinical trials are a critical component of evaluating the effectiveness of new medical
interventions and driving advancements in medical research. Therefore, timely enrollment of …

The adoption of digital pathology promises to revolutionize medical diagnostics by enabling
the computerized analysis of tissue images, particularly through the digitization of formalin …

In natural language processing, named entity recognition (NER) is a crucial task involving
finding and categorizing text entities. The biomedical domain presents substantial hurdles …

Objective The study aims to present an active learning approach that automatically extracts
clinical concepts from unstructured data and classifies them into explicit categories such as …

Medical information retrieval (MIR) is essential for retrieving relevant medical knowledge
from diverse sources, including electronic health records, scientific literature, and medical …

Pharmacovigilance (PV) is essential for drug safety, primarily focusing on adverse event
monitoring. Traditionally, accessing safety data required database expertise, limiting …

Abstract Information Retrieval adalah bidang yang berkaitan dengan struktur, analisis,
organisasi, penyimpanan, pencarian, dan pengambilan informasi. Mesin pencari dokumen …

Background. Medical information retrieval is becoming more crucial as a way to support
decision-making and improve access to knowledge and information for doctors and other …

Актуальність. Використання інформаційних пошукових систем дозволяє науковцям
глибше ознайомитися з вірогідною інформацією та досконало вивчити наукове питання …