AI Medical Compendium

Impact of LLM Scale and Quantization on Information Extraction from Clinical Text.

Studies in health technology and informatics May 21, 2026

Large Language Models (LLMs) show strong potential for extracting structured information from unstructured clinical narratives. However, their adoption in healthcare is constrained by privacy requirements that necessitate local deployment, often unde... read more

From Report to Record: Prompt-Based Information Extraction from Gynecology Oncology Reports Using LLMs.

Studies in health technology and informatics May 21, 2026

The growing capabilities of Large Language Models (LLMs) in understanding and generating clinical text are transforming the processing of unstructured medical data. This study presents a prompt-based framework for extracting structured information fr... read more

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

Artificial Intelligence Medical Compendium

Impact of LLM Scale and Quantization on Information Extraction from Clinical Text.

From Report to Record: Prompt-Based Information Extraction from Gynecology Oncology Reports Using LLMs.

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

Benchmarking Open-Source Large Language Models in Medical French.

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

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

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

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

A Real-Time Clinical Text Information Extractor via LLM.

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

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