Artificial Intelligence Medical Compendium

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

Showing 14,841 to 14,850 of 212,294 articles

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 

Challenges of Ontology-Based Concept Normalization for Deep Phenotyping in Rare Skin Diseases.

Studies in health technology and informatics May 21, 2026
Extracting and standardizing phenotypic information from free-text medical reports remains a main challenge in biomedical natural language processing (NLP). Conceptual normalization, which maps textual mentions to standardized vocabularies such as th... read more 

Towards Real-Time Decision Support with LIVIA: Live-Streaming Infrastructure for Vital Sign Inference and Analytics.

Studies in health technology and informatics May 21, 2026
The translation of machine learning (ML) research into clinical practice is slowed by fragmented infrastructure and lack of standardized pipelines. LIVIA provides a platform for real-time ML in intensive care, integrating high-frequency physiological... read more 

Generating synthetic CT from MR images for radiation-free computer-assisted quantification of hip morphology.

European journal of radiology May 21, 2026
OBJECTIVES: To compare MR image-based synthetic CT (sCT) with conventional CT for computer-assisted quantification of hip morphology by evaluating osseous structure segmentation quality and hip morphological parameters. MATERIALS AND METHODS: This re... read more 

Predicting PROTAC degradation activity and selectivity of effective E3 ligase through harnessing a combination of AtomPair fingerprints and multiple machine learning algorithms.

Journal of molecular graphics & modelling May 21, 2026
Proteolysis targeting chimeras (PROTACs) are drugs that recruit target proteins and E3 ligases to leverage the ubiquitin-proteasome system (UPS) for specific degradation of proteins. This approach has received significant attention because of their a... read more 

Decoding the role of polyamine metabolism in lung adenocarcinoma prognosis: A triangulated approach combining transcriptome, single-cell and Mendelian randomization analyses.

Oncology letters May 21, 2026
The progression of lung adenocarcinoma (LUAD) is influenced by polyamine metabolism, which modulates antitumor immunity, although the underlying mechanisms remain unclear. The present study investigates the role of polyamine metabolism-related genes ... read more 

EvoIR-Agent: Self-Evolving Image Restoration Agentic System via Experience-Driven Learning

arXiv May 21, 2026
Multimodal Large Language Model (MLLM)-driven image restoration agent demonstrates effectiveness in degradation coupling scenarios by flexibly selecting tools and determining removal orders. However, their zero-shot planning often fails without exper... read more 
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