Artificial Intelligence Medical Compendium

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

Showing 15,551 to 15,560 of 213,137 articles

Real-World Application of a Machine Learning Pipeline for Overall Survival in Chronic Lymphocytic Leukemia.

Studies in health technology and informatics May 21, 2026
We developed a machine learning model and validated it using a large-scale, real-world cohort to predict overall survival in patients with Chronic Lymphocytic Leukemia (CLL). The model captured key survival trends between treatment eras. Individual-l... read more 

Physicians' Perspectives on Predictive Uncertainty in Machine Learning Models.

Studies in health technology and informatics May 21, 2026
We examined clinicians' perspectives on predictive uncertainty displayed alongside risk predictions using semi-structured interviews in a postoperative delirium dashboard prototype. While clinicians recognized the value of uncertainty information, th... read more 

Design and Early Evaluation of an Algorithmovigilance System.

Studies in health technology and informatics May 21, 2026
Algorithmovigilance, the proactive and ongoing monitoring of AI systems, is essential for safe and effective AI use in healthcare. We describe the early deployment experiences and assessment of an AI monitoring and operations system and provide desig... read more 

Designing for Trust: Exploring User Perceptions of AI Transparency in Healthcare.

Studies in health technology and informatics May 21, 2026
Transparency is frequently cited as a key ethical requirement for artificial intelligence (AI), yet its meaning remains ambiguous and often defined through a top-down technical or regulatory perspectives. The XpliCAI project adopts a user-centered pa... read more 

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 
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