Introduction Following a historic 2006 US Federal Court ruling, major cigarette manufacturers were mandated to display ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

The likelihood for self-reported prediabetes was significantly elevated among adults who smoked combustible cigarettes only, ...

Occam’s razor is the principle that, all else being equal, simpler explanations should be preferred over more complex ones. This principle is thought to guide human decision-making, but the nature of ...

The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...

This study found that certain characteristics in linked electronic health record data across episodes of care can help identify patients with Alzheimer disease and related dementias at high risk of 30 ...

Introduction Pre-exposure prophylaxis (PrEP) is an effective HIV prevention strategy, but its impact is limited by low uptake ...

This research underscores the beneficial impact of the Medicaid Institution for Mental Diseases (IMD) exclusion waivers on psychiatric-specific and all-cause health care resource utilization and costs ...

Background Few studies have investigated patient-reported non-motor outcomes after stroke in young adults. We aimed to assess ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...