Artificial Intelligence Medical Compendium

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

Showing 13,081 to 13,090 of 210,785 articles

Convergence to Steady State in LLM-Generated Ontological Concepts.

Studies in health technology and informatics May 21, 2026
Large Language Models (LLMs) offer a scalable method to generate candidate concepts for ontology expansion. However, the outputs depend on LLMs' sampling parameters such as "temperature." A high temperature leads to increased hallucinations. We consi... read more 

A Novel Approach for Handling Missing Data in Multivariate Time Series Clustering: Case Study on Predicting Delayed Graft Function.

Studies in health technology and informatics May 21, 2026
Single value imputation and Multiple Imputation Chained Equation (MICE) are widely used for handling missing data cross-sectionally. Although several predictive and generative deep learning based methods address missing multivariate time series (MTS)... read more 

Co-Creation and Advanced Analytics in Register-Based Analysis of Families with Children.

Studies in health technology and informatics May 21, 2026
The purpose of this paper is to describe the role of co-creation in the analysis of family wellbeing data (n=22,359) concerning families with children. The target population consists of families with children from four Family Centre areas within a si... read more 

Who's Thinking About AI? Patterns of Artificial Intelligence Reference Across the Australian Specialist Digital Health Workforce.

Studies in health technology and informatics May 21, 2026
Artificial intelligence (AI) is reshaping healthcare delivery, management, and education worldwide, creating new opportunities and challenges for the digital health workforce. This study examined the demographic, educational and professional characte... read more 

Profile-Aware Consent Management: A Conceptual Framework.

Studies in health technology and informatics May 21, 2026
Managing user consent for personal data remains a persistent challenge across domains such as healthcare, digital services, and research. Static consent mechanisms often fail to reflect user diversity, evolving preferences, and continuous regulatory ... read more 

An Empirical Study of LLMs for Engineering Medical Consent.

Studies in health technology and informatics May 21, 2026
The process of obtaining patient informed consent for personal health information management and agreement on treatments has in recent years become a significant burden for healthcare providers, who often struggle to integrate complex consent require... read more 

Relational Graph Convolutional Network with BERT Embeddings for Ontology Relationship Classification.

Studies in health technology and informatics May 21, 2026
SNOMED CT is one of the largest and most widely used medical ontologies. It is a collection of medical concepts with a large number of relationships between concept pairs. One of the most laborious tasks for SNOMED CT curators is placing concepts in ... read more 

Participatory Technology Assessment in AI Development for Sleep Medicine.

Studies in health technology and informatics May 21, 2026
This paper argues for the essential role of Participatory Technology Assessment (pTA) in the ethical development of Artificial Intelligence (AI) for sleep medicine. The involvement of stakeholders, particularly patients, is a socio-political and prag... read more 

From Records to Relationships: An Ontology-Based Knowledge Graph Framework for Cancer Data Interoperability.

Studies in health technology and informatics May 21, 2026
Healthcare data's rapid growth and complexity reveal a significant challenge: we lack effective approaches to integrate multimodal information into unified, interpretable structures. Existing methods typically focus either on ontology mapping or know... read more 

Designing with Humans in the Loop: A Human-Centered Approach to AI-Based Healthcare Technologies.

Studies in health technology and informatics May 21, 2026
Artificial intelligence (AI) is considered to have great potential to support healthcare by improving diagnostic accuracy, optimizing workflows, and personalizing care. Yet, many AI-driven technologies fail to achieve envisioned impact due to issues ... read more 
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