AIMC Topic: Programming Languages
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FoodWiki: Ontology-Driven Mobile Safe Food Consumption System.
TheScientificWorldJournal
Jun 15, 2015
An ontology-driven safe food consumption mobile system is considered. Over 3,000 compounds are being added to processed food, with numerous effects on the food: to add color, stabilize, texturize, preserve, sweeten, thicken, add flavor, soften, emuls...
Automatic evidence quality prediction to support evidence-based decision making.
Artificial intelligence in medicine
Apr 22, 2015
BACKGROUND: Evidence-based medicine practice requires practitioners to obtain the best available medical evidence, and appraise the quality of the evidence when making clinical decisions. Primarily due to the plethora of electronically available data...
Transformation of standardized clinical models based on OWL technologies: from CEM to OpenEHR archetypes.
Journal of the American Medical Informatics Association : JAMIA
Feb 10, 2015
INTRODUCTION: The semantic interoperability of electronic healthcare records (EHRs) systems is a major challenge in the medical informatics area. International initiatives pursue the use of semantically interoperable clinical models, and ontologies h...
Automated structural classification of lipids by machine learning.
Bioinformatics (Oxford, England)
Oct 29, 2014
MOTIVATION: Modern lipidomics is largely dependent upon structural ontologies because of the great diversity exhibited in the lipidome, but no automated lipid classification exists to facilitate this partitioning. The size of the putative lipidome fa...
DOSE: an R/Bioconductor package for disease ontology semantic and enrichment analysis.
Bioinformatics (Oxford, England)
Oct 17, 2014
SUMMARY: Disease ontology (DO) annotates human genes in the context of disease. DO is important annotation in translating molecular findings from high-throughput data to clinical relevance. DOSE is an R package providing semantic similarity computati...
Simple and efficient method for region of interest value extraction from picture archiving and communication system viewer with optical character recognition software and macro program.
Academic radiology
Aug 12, 2014
RATIONALE AND OBJECTIVES: The objectives are: 1) to introduce a simple and efficient method for extracting region of interest (ROI) values from a Picture Archiving and Communication System (PACS) viewer using optical character recognition (OCR) softw...
User-Computer Interface
Natural Language Processing
Data Mining
Programming Languages
Image Interpretation, Computer-Assisted
Algorithms
Pattern Recognition, Automated
Radiology Information Systems
Reproducibility of Results
Artificial Intelligence
Vocabulary, Controlled
Software
Sensitivity and Specificity
LLM-Based Medical Document Evaluation: Integrating Human Expert Insights.
Studies in health technology and informatics
Aug 7, 2025
Large Language Models (LLMs) show potential in medical document generation, but ensuring reliability requires extensive expert involvement, limiting clinical applications. To address this challenge, we developed an LLM-based evaluation framework with...
Structured LLM Augmentation for Clinical Information Extraction.
Studies in health technology and informatics
Aug 7, 2025
Information extraction tasks, such as Named Entity Recognition (NER) and Relation Extraction (RE), are essential for advancing clinical research and applications. However, these tasks are hindered by the scarcity of labeled clinical documents due to ...
SigPhi-Med: A lightweight vision-language assistant for biomedicine.
Journal of biomedical informatics
Jul 1, 2025
BACKGROUND: Recent advancements in general multimodal large language models (MLLMs) have led to substantial improvements in the performance of biomedical MLLMs across diverse medical tasks, exhibiting significant transformative potential. However, th...
A comparative analysis of privacy-preserving large language models for automated echocardiography report analysis.
Journal of the American Medical Informatics Association : JAMIA
Jul 1, 2025
BACKGROUND: Automated data extraction from echocardiography reports could facilitate large-scale registry creation and clinical surveillance of valvular heart diseases (VHD). We evaluated the performance of open-source large language models (LLMs) gu...
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