Artificial Intelligence Medical Compendium

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

Showing 18,261 to 18,270 of 214,278 articles

Maturity, Safety, and Equity of AI-Enabled Systems and Triage in Integrated Primary Care.

Journal of medical Internet research
Artificial intelligence (AI)-enabled systems must simultaneously improve the Quintuple Aim and digital health maturity, including equitable access to and quality and interoperability of data, tools, agents, and services. This requires a comprehensive... read more 

Retinal biological age correlates with bone mineral density and fracture risk score and predicts incident osteoporosis.

PLOS digital health
Osteoporosis often lacks accessible screening tools, leading to underdiagnosis and increased fracture risk. We explored the potential of a retinal aging biomarker, measured by the RetiAGE algorithm, in stratifying osteoporosis risk. Cross-sectional a... read more 

Interpretable prediction of dynamic compressive strength of red sandstone under wetting-drying cycles using ensemble learning.

PloS one
With geotechnical engineering facing more complex environmental challenges, accurately predicting the mechanical behavior of rocks under dynamic loading becomes essential for maintaining structural safety. In this study, the dynamic compressive stren... read more 

Natural Language Processing of Clinical Notes for Cancer Research and Patient Care Prior to Widespread Adoption of Generative AI: Scoping Review.

JMIR AI
BACKGROUND: Clinical notes are the most abundant data type within electronic health records; however, their highly unstructured format presents significant challenges for supervised natural language processing (NLP) methods. The NLP community is incr... read more 

Loss function influence on hyperparameter optimization for observational healthcare prediction models.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Prediction models are increasingly used in healthcare for risk stratification and personalized care. Many models are developed using machine learning, which requires tuning hyperparameters to maximize performance based on a chosen loss fu... read more 

Data-driven differentiation analysis of urban high-tech industries: Research on bibliometrics and large language models.

PloS one
This study examines inter-city heterogeneity in China's high-tech industries from a regional innovation systems (RIS) perspective, with a particular focus on how variations in knowledge production, technological application, and actor configurations ... read more 

Integrating horizontal-vertical heterogeneity and environmental factors to unravel heavy metal distributions and phytoaccumulation in a soil-maize system.

Journal of hazardous materials
Oasis farmlands are the core grain production carrier in arid regions, where soil heavy metal contamination directly threatens regional agricultural product safety and resident health. This study developed an integrated framework of stratified spatia... read more 

Prognostic value of estimated pulse wave velocity for all-cause and cardiovascular mortality in individuals with cardiovascular-kidney-metabolic (CKM) syndrome: analyses of NHANES 2007-2018.

Diabetology & metabolic syndrome
BACKGROUND: The impact of estimated pulse wave velocity (ePWV) on the prognosis of cardiovascular-kidney-metabolic (CKM) syndrome has not been explored. This study investigated the association between ePWV and mortality and its predictive performance... read more 

Identification and validation of lactylation-related genes signature and immune infiltration landscape of rheumatoid arthritis based on machine learning.

Hereditas
BACKGROUND: The pathogenic mechanisms underlying rheumatoid arthritis (RA) remain elusive. Lactylation, a novel post-translational modification, may regulate immune and metabolic reprogramming, underscoring the imperative to delineate lactylation-rel... read more