Studies in health technology and informatics
May 21, 2026
Language models (LMs) offer promise for automating concept extraction, a task traditionally reliant on manual curation and earlier natural language processing (NLP) methods. We present a benchmarking approach to systematically evaluate on-premises LM... read more
Studies in health technology and informatics
May 21, 2026
The integration of diverse healthcare data into unified data lake infrastructures is a promising way to support research and clinical decision-making. Yet, querying these data lakes, such as those based on MongoDB, remains complex, often requiring sp... read more
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
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
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
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
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
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
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
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
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.