AIMC Topic: Programming Languages
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The Large Language Models on Biomedical Data Analysis: A Survey.
IEEE journal of biomedical and health informatics
Jun 1, 2025
With the rapid development of Large Language Model (LLM) technology, it has become an indispensable force in biomedical data analysis research. However, biomedical researchers currently have limited knowledge about LLM. Therefore, there is an urgent ...
A Mixed-Methods Evaluation of LLM-Based Chatbots for Menopause.
Studies in health technology and informatics
May 15, 2025
The integration of Large Language Models (LLMs) into healthcare settings has gained significant attention, particularly for question-answering tasks. Given the high-stakes nature of healthcare, it is essential to ensure that LLM-generated content is ...
Exploring Data Science Students' Engagement, Usage Patterns, and Perceptions of Large Language Models in Programming.
Studies in health technology and informatics
May 15, 2025
Large Language Models (LLMs) are a type of artificial intelligence (AI) that have emerged as powerful tools for a wide range of tasks, paving the way for new applications previously unhandled. The use of LLMs is increasing, especially among students....
Large Language Model-Assisted Systematic Review: Validation Based on Cochrane Review Data.
Studies in health technology and informatics
May 15, 2025
Large Language Models (LLMs) offer potential for automating systematic reviews, a labor-intensive process in evidence-based medicine. We evaluated GPT-4o, GPT-4o-mini, and Llama 3.1:8B on abstract screening and risk of bias assessment using 12 Cochra...
Evaluating LLMs' Potential to Identify Rare Patient Identifiers in Patient Health Records.
Studies in health technology and informatics
May 15, 2025
This study explores the utility of Large Language Models (LLMs) to support finding rare patient record details that could make a patient identifiable. Whilst most research has focused on what we call direct patient identifiers, indirect patient ident...
Leveraging Data Pipeline and LLM to Advance Patient Safety Event Studies.
Studies in health technology and informatics
May 15, 2025
Research utilizing the open-access MAUDE database frequently reveals unclear methodologies for extracting and processing medical device report (MDR) data, reducing reproducibility and consistency. By harnessing the OpenFDA API and our MAUDE extract-t...
Fine-Tuning an Existing Large Language Model with Knowledge from the Medical Expert System Hepaxpert.
Studies in health technology and informatics
May 15, 2025
The analysis and individual interpretation of hepatitis serology test results is a complex task in laboratory medicine, requiring either experienced physicians or specialized expert systems. This study explores fine-tuning a large language model (LLM...
Improving large language model applications in biomedicine with retrieval-augmented generation: a systematic review, meta-analysis, and clinical development guidelines.
Journal of the American Medical Informatics Association : JAMIA
Apr 1, 2025
OBJECTIVE: The objectives of this study are to synthesize findings from recent research of retrieval-augmented generation (RAG) and large language models (LLMs) in biomedicine and provide clinical development guidelines to improve effectiveness.
A change language for ontologies and knowledge graphs.
Database : the journal of biological databases and curation
Jan 22, 2025
Ontologies and knowledge graphs (KGs) are general-purpose computable representations of some domain, such as human anatomy, and are frequently a crucial part of modern information systems. Most of these structures change over time, incorporating new ...
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 ...
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