Artificial Intelligence Medical Compendium

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

Showing 14,331 to 14,340 of 211,815 articles

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 

Exploring the Role of Robotics in Nursing Homes: Insights from Healthcare Professionals.

Studies in health technology and informatics May 21, 2026
This paper reports findings from a qualitative descriptive study exploring the potential use of service robots in nursing homes. Participants in three workshops expressed optimism and creativity regarding the role of robots in supporting a variety of... read more 

Measuring the Acceptance of Humanoid Robots in Adult Day Care Facilities.

Studies in health technology and informatics May 21, 2026
INTRODUCTION: Socially assistive humanoid robots have emerged as promising tools for enhancing mood, engagement, and social connection in clinical and adult day care environments. This study investigated the acceptance and emotional impact of a human... read more 

Context-Free Grammar-Guided Generation of FHIR Resources Using Large Language Models.

Studies in health technology and informatics May 21, 2026
Large Language Models (LLMs) have shown remarkable capabilities in medical information extraction and data transformation tasks. However, their unstructured outputs pose significant challenges for integration into clinical data pipelines. Fast Health... read more 
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