Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 12,971 to 12,980 of 210,785 articles

Development of a Hybrid Algorithm of Claims Data and EMRs with NLP for Lung Cancer Identification.

Studies in health technology and informatics May 21, 2026
The use of real-world data, which encompassing administrative claims and electronic medical records, has gained significance in clinical research. Although administrative claims data are widely used, they often lack the clinical specificity and diagn... read more 

Benchmarking Open-Source Large Language Models in Medical French.

Studies in health technology and informatics May 21, 2026
Large Language Models (LLMs) are increasingly applied in healthcare, yet their evaluation in medical French remains limited. Building on the MedFrenchmark study by Quercia et al. (2024), this work assesses 15 open-source models through a subset of 77... read more 

Generation of Training Data to Distinguish Adverse Events from Medical Conditions.

Studies in health technology and informatics May 21, 2026
To support pharmacovigilance activities in social media, innovative methods are required to detect named entities corresponding to drugs and adverse events. However, annotated resources are missing for French-language discussion forums, and manual an... read more 

Classifying Clinical Evidence Levels of Cancer Variants in Biomedical Literature Using Machine Learning and Large Language Models.

Studies in health technology and informatics May 21, 2026
Automating the classification of clinical evidence levels in biomedical literature can support precision oncology by facilitating the acceleration of variant interpretation and informed decision-making. This study compares the performance of two stat... read more 

The Limits of Generalization: Zero-Shot French Medical NER Using French, English and Multilingual GLiNER Models.

Studies in health technology and informatics May 21, 2026
This study evaluates zero-shot Named Entity Recognition (NER) using several GLiNER-based models on French medical text. Eight open datasets covering diseases, symptoms, and drugs are used to assess generalization across varied formats and domains. Mo... read more 

Using Prompt Engineering to Optimize a RAG Pipeline for EHR-Nursing Data Standardization.

Studies in health technology and informatics May 21, 2026
Standardizing nursing care plan data from electronic health records is critical for interoperability and large-scale research but is often hindered by the heterogeneity of local terminologies. This study evaluates an optimized Retrieval-Augmented Gen... read more 

A Real-Time Clinical Text Information Extractor via LLM.

Studies in health technology and informatics May 21, 2026
The extraction of structured information from unstructured clinical text is a critical requirement for real-time decision support and research applications in oncology. In this study, we present a modular pipeline leveraging locally deployed Large La... read more 

Enhancing Ontology Engineering with Large Language Models: A Stage-Wise Human-in-the-Loop Study.

Studies in health technology and informatics May 21, 2026
Ontology engineering plays a critical role in modelling structured knowledge and ensuring semantic interoperability in digital healthcare. However, manually developing ontologies is time-consuming and dependent on human expertise. This study investig... read more 

Evaluating the Role of Order and Time Information for Classifying Sequences of Healthcare Events Derived from Claims Data.

Studies in health technology and informatics May 21, 2026
Sequences of healthcare events from claims data are increasingly used for predictive modeling. Despite the rise in popularity of neural networks, the benefit of modeling event order and timing remains underexplored. We simulated patient trajectories ... read more 

Describing Data Processing in FHIR: AI-Assisted Interoperability for Cancer Stage Extraction.

Studies in health technology and informatics May 21, 2026
INTRODUCTION: Creating interoperable clinical data models in FHIR is essential but often labor-intensive. This study explores the use of Generative AI to assist in documenting and structuring FHIR-based data transformation workflows, focusing on TNM ... read more 
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