AIMC Topic: Information Storage and Retrieval
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Careful design of Large Language Model pipelines enables expert-level retrieval of evidence-based information from syntheses and databases.
PloS one
Jan 1, 2025
Wise use of evidence to support efficient conservation action is key to tackling biodiversity loss with limited time and resources. Evidence syntheses provide key recommendations for conservation decision-makers by assessing and summarising evidence,...
A comparative analysis of large language models versus traditional information extraction methods for real-world evidence of patient symptomatology in acute and post-acute sequelae of SARS-CoV-2.
PloS one
Jan 1, 2025
BACKGROUND: Patient symptoms, crucial for disease progression and diagnosis, are often captured in unstructured clinical notes. Large language models (LLMs) offer potential advantages in extracting patient symptoms compared to traditional rule-based ...
Handwritten Data Extraction Using OpenAI ChatGPT4o and Robotic Process Automation.
Studies in health technology and informatics
Nov 22, 2024
This paper proposes to create an Robotic Process Automation style application that can digitalize and extract data from handwritten medical forms. The RPA robot uses OpenAI ChatGPT4o model to extract handwritten medical data and transform it into typ...
FHIR-Based Arden Syntax Compiler for Clinical Decision Support.
Studies in health technology and informatics
Nov 22, 2024
The Arden Syntax is a language designed for the encoding of medical knowledge into clinical decision support systems. Its evolution is overseen by Health Level 7. A significant enhancement in its new version 3.0 is the incorporation of FHIR for data ...
Utilizing RAG and GPT-4 for Extraction of Substance Use Information from Clinical Notes.
Studies in health technology and informatics
Nov 22, 2024
This research investigates the application of a hybrid Retrieval-Augmented Generation (RAG) and Generative Pre-trained Transformer (GPT) pipeline for extracting and categorizing substance use information from unstructured clinical notes. The aim is t...
Representation of Social Determinants of Health terminology in medical subject headings: impact of added terms.
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2024
OBJECTIVES: To enhance and evaluate the quality of PubMed search results for Social Determinants of Health (SDoH) through the addition of new SDoH terms to Medical Subject Headings (MeSH).
Building a Natural Language Interface for FHIR Clinical Terminology Server.
Studies in health technology and informatics
Sep 24, 2024
While Fast Healthcare Interoperability Resources (FHIR) clinical terminology server enables quick and easy search and retrieval of coded medical data, it still has some drawbacks. When searching, any typographical errors, variations in word forms, or...
A question-answering framework for automated abstract screening using large language models.
Journal of the American Medical Informatics Association : JAMIA
Sep 1, 2024
OBJECTIVE: This paper aims to address the challenges in abstract screening within systematic reviews (SR) by leveraging the zero-shot capabilities of large language models (LLMs).
RT: a Retrieving and Chain-of-Thought framework for few-shot medical named entity recognition.
Journal of the American Medical Informatics Association : JAMIA
Sep 1, 2024
OBJECTIVES: This article aims to enhance the performance of larger language models (LLMs) on the few-shot biomedical named entity recognition (NER) task by developing a simple and effective method called Retrieving and Chain-of-Thought (RT) framework...
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports.
Journal of the American Medical Informatics Association : JAMIA
Sep 1, 2024
OBJECTIVES: The study developed framework that leverages an open-source Large Language Model (LLM) to enable clinicians to ask plain-language questions about a patient's entire echocardiogram report history. This approach is intended to streamline th...
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