AIMC Topic: Information Storage and Retrieval
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Search still matters: information retrieval in the era of generative AI.
Journal of the American Medical Informatics Association : JAMIA
Sep 1, 2024
OBJECTIVE: Information retrieval (IR, also known as search) systems are ubiquitous in modern times. How does the emergence of generative artificial intelligence (AI), based on large language models (LLMs), fit into the IR process?
Classification of Veterinary Subjects in Medical Literature and Clinical Summaries.
Studies in health technology and informatics
Aug 30, 2024
INTRODUCTION: Human and veterinary medicine are practiced separately, but literature databases such as Pubmed include articles from both fields. This impedes supporting clinical decisions with automated information retrieval, because treatment consid...
Extending the TOP Framework with an Ontology-Based Text Search Component.
Studies in health technology and informatics
Aug 30, 2024
INTRODUCTION: Constructing search queries that deal with complex concepts is a challenging task without proficiency in the underlying query language - which holds true for either structured or unstructured data. Medical data might encompass both type...
Using Retrieval-Augmented Generation to Capture Molecularly-Driven Treatment Relationships for Precision Oncology.
Studies in health technology and informatics
Aug 22, 2024
Modern generative artificial intelligence techniques like retrieval-augmented generation (RAG) may be applied in support of precision oncology treatment discussions. Experts routinely review published literature for evidence and recommendations of tr...
Optimizing Data Extraction: Harnessing RAG and LLMs for German Medical Documents.
Studies in health technology and informatics
Aug 22, 2024
In the field of medical data analysis, converting unstructured text documents into a structured format suitable for further use is a significant challenge. This study introduces an automated local deployed data privacy secure pipeline that uses open-...
Exploring Offline Large Language Models for Clinical Information Extraction: A Study of Renal Histopathological Reports of Lupus Nephritis Patients.
Studies in health technology and informatics
Aug 22, 2024
Open source, lightweight and offline generative large language models (LLMs) hold promise for clinical information extraction due to their suitability to operate in secured environments using commodity hardware without token cost. By creating a simpl...
Comparative Evaluation of Pre-Trained Language Models for Biomedical Information Retrieval.
Studies in health technology and informatics
Aug 22, 2024
Finding relevant information in the biomedical literature increasingly depends on efficient information retrieval (IR) algorithms. Cross-Encoders, SentenceBERT, and ColBERT are algorithms based on pre-trained language models that use nuanced but comp...
Enhancing Clinical Data Extraction from Pathology Reports: A Comparative Analysis of Large Language Models.
Studies in health technology and informatics
Aug 22, 2024
This study evaluates the efficacy of a small large language model (sLLM) in extracting critical information from free-text pathology reports across multiple centers, addressing the challenges posed by the narrative and complex nature of these documen...
Semantic Mapping of Named-Entities in openEHR Templates and Ad-hoc Generation of Compositions.
Studies in health technology and informatics
Aug 22, 2024
Integration of free texts from reports written by physicians to an interoperable standard is important for improving patient-centric care and research in the medical domain. In the context of unstructured clinical data, NLP Information Extraction ser...
OntoBridge Versus Traditional ETL: Enhancing Data Standardization into CDM Formats Using Ontologies Within the DATOS-CAT Project.
Studies in health technology and informatics
Aug 22, 2024
Common Data Models (CDMs) enhance data exchange and integration across diverse sources, preserving semantics and context. Transforming local data into CDMs is typically cumbersome and resource-intensive, with limited reusability. This article compare...
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