Artificial Intelligence Medical Compendium

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

Showing 14,211 to 14,220 of 211,815 articles

Leveraging Large Language Models with Retrieval-Augmented Generation for Semantic Mapping of Clinical Data Lakes to SNOMED CT.

Studies in health technology and informatics May 21, 2026
Mapping local clinical concepts to standardized terminologies such as SNOMED CT is essential for semantic interoperability and large-scale research, but manual mapping is labor-intensive and difficult to scale. We report a preliminary evaluation of a... read more 

Development Parameters of the Decision Aid Rule-Based Evaluation and Support Tool (REST) for Optimizing the Resources of an Information Extraction Task.

Studies in health technology and informatics May 21, 2026
We aimed to develop and test a decision aid tool for NLP agnostic developers to assess the most relevant information extraction (IE) method. Because of non-inferior IE performance under specific conditions and of better carbon footprint, transferabil... read more 

Crique: A System for Automatic Extraction and Formalization of Eligibility Criteria for Clinical Trials.

Studies in health technology and informatics May 21, 2026
Defining formal and structured eligibility criteria for digital recruitment assistant systems can be a challenging interdisciplinary task requiring collaboration between technical and clinical experts. We introduce crique, a free and open source soft... read more 

De-Identification of Free-Text Medical Records Using Large Language Models.

Studies in health technology and informatics May 21, 2026
This study evaluates large language models (LLMs) for automated de-identification of free-text medical records. Using 150 synthetically generated, personal health information (PHI)-enriched doctor's letters (23.2 PHIs per letter), we compared the ful... read more 

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 
Popular Topics
Recent Journals