Recent data suggests a significant positive relationship between the Triglyceride-Glucose (TyG) index—a marker of insulin ...
Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...
Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...
Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
Health Insurance Equity, Social Determinants, Socioeconomic Status, Insurance Quality, Urban-Rural Disparity, Hukou, China ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...
Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...
Although the vast majority of physicians using an artificial intelligence (AI) scribe perceived a reduction in documentation time, those with the most actual time savings had higher relative baseline ...
News-Medical.Net on MSN
Common blood signals explain why chronic diseases cluster as we age
This population-based study shows that shared and pattern-specific blood biomarkers reflect biological vulnerability ...
Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback