John Snow Labs’ small medical Language model (MedS) outperformed GPT-4o in factuality (by 5–10%), clinical relevance, and conciseness across tasks like summarization, information extraction, and biomedical Q/A, showcasing the impact...
In this blog post, we spotlight the potential of smaller, specialized language models within a Retrieval-Augmented Generation (RAG) framework — a space where large LLMs like GPT-4o are commonly used....
This blog post explores how John Snow Labs’ Healthcare NLP & LLM library is transforming clinical trials by using advanced NER models to efficiently filter through large datasets of patient...
Healthcare-specific language models, like the JSL-MedS-NER family, are designed to extract clinical entities from unstructured medical text. These models can identify key information such as clinical terms, drugs, side effect,...
Literature reviews are a critical component of evidence-based medicine, serving as a structured approach to addressing clinical questions by systematically analyzing the breadth of published academic literature. However, traditional methods...
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