Artificial Intelligence Medical Compendium

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

Showing 12,961 to 12,970 of 210,785 articles

Beyond the Algorithm: Citizens Professionals Dialogue on the Use of Generative AI in Healthcare.

Studies in health technology and informatics May 21, 2026
Generative artificial intelligence (GAI) offers new opportunities to improve healthcare efficiency and quality, yet its adoption raises ethical and societal questions. Questions about transparency, equitability, accountability, data privacy, and the ... read more 

Governance of Artificial Intelligence in an Academic Health System After 2 Years.

Studies in health technology and informatics May 21, 2026
Artificial Intelligence requires a new approach to governance to manage the complexity of the algorithms themselves, implementation, and monitoring. At Oregon Health & Science University, an AI governance approach that used key AI frameworks to creat... read more 

Reliable Enough? Benchmarking LLMs for Clinical Concept Extraction.

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 

Querying Healthcare Data Lake Using LLMs Without Direct Data Exposure: A Feasibility Study.

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 

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 
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