Artificial Intelligence Medical Compendium

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

Showing 45,921 to 45,930 of 224,055 articles

A Comprehensive Review of Wooden Breast Myopathy in Broilers: Impacts, Detection, Processing, and Future Perspectives.

Comprehensive reviews in food science and food safety
Wooden breast (WB) myopathy is a major muscle disorder in fast-growing broilers, affecting the entire poultry production chain and causing substantial economic losses. Current mitigation strategies rely primarily on carcass-level identification, grad... read more 

Artificial Intelligence-Enhanced Electrocardiography for Predicting Paroxysmal Atrial Fibrillation From Sinus Rhythm: Impact of Data Integration Across Institutions and Devices.

Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc
BACKGROUND: Artificial intelligence (AI)-enhanced electrocardiography (ECG) has been developed to detect paroxysmal atrial fibrillation (AF) from sinus rhythm ECGs (SR-ECGs). For broader applicability, model development across institutions and ECG sy... read more 

Exploring the Ethical Dimensions of AI-Driven Patient Monitoring in Critical Care Nursing: A Systematic Review.

Nursing in critical care
BACKGROUND: Artificial intelligence (AI) is increasingly applied in intensive care units (ICUs) to enhance monitoring, prediction and decision-making. While these systems may improve patient safety and support nursing practice, their integration rais... read more 

Cutting-Edge Technologies to Decode Tumor Microenvironment in Multiple Myeloma.

Hematological oncology
Multiple myeloma (MM) is recognized as a malignancy shaped by its complex tumor microenvironment (TME), which fuels disease progression and therapeutic resistance. Recent advances in single-cell omics, spatial transcriptomics, mass cytometry, and adv... read more 

Advancing Global Nursing Policy: AI-Driven Health Literacy Innovations for Migrant Domestic Workers.

International nursing review
AIM: This perspective proposes evidence-informed strategies to advance health literacy equity for migrant domestic workers (MDWs) globally, integrating research findings and outlining nursing-led policy directions for sustainable change. BACKGROUND: ... read more 

A Comprehensive Framework for Uncertainty Quantification of Voxel-Wise Supervised Deep Learning Models in IVIM MRI.

NMR in biomedicine
Accurate estimation of intravoxel incoherent motion (IVIM) parameters from diffusion-weighted MRI remains challenging due to the ill-posed nature of the inverse problem and high sensitivity to noise, particularly in the perfusion compartment. In this... read more 

Effectiveness of low-density high-throughput marker platform and easy-to-measure traits for genomic prediction of biomass yield in oat (Avena sativa L.).

The plant genome
Genomic selection (GS) is a promising strategy for accelerating genetic gains of complex traits in breeding programs. Despite the recent advancements in high-throughput genotyping technologies, the selection of the type of marker systems needed for G... read more 

Artificial Intelligence in Coronary Computed Tomography: Current Applications, Future Potentials, and Real-world Challenges.

Journal of thoracic imaging
Artificial intelligence (AI) is rapidly transforming cardiac computed tomography (CT) imaging by enhancing image acquisition, reconstruction, and analysis to improve diagnostic accuracy and overall clinical workflow. Deep learning reconstruction (DLR... read more 

AI Technology Acceptance, Decent Work Perception, and Job Crafting Among Nurses: A Three-Wave Cross-Lagged Study.

International nursing review
AIM: To examine how nurses' acceptance of artificial intelligence influences job crafting over time and to explore the longitudinal mediating role of decent work perception in this relationship. BACKGROUND: The integration of artificial intelligence ... read more 

Agentic AI in Radiology: Evolution from Large Language Models to Future Clinical Integration.

Radiology. Artificial intelligence
The introduction of foundational models, specifically large language models, has promised a health care transformation. However, the field is rapidly evolving toward autonomous agent systems, defined as artificial intelligence (AI) entities that perc... read more