Among patients with chronic noncancer pain, a novel machine learning model effectively predicts opioid use disorder risk.

Severe bleeding is one of the most common and preventable causes of death after traumatic injury, yet currently available ...

Manual review of electronic health records (EHRs) to screen for contraindications to thrombolysis during stroke evaluation is ...

There is an emerging convergence between atherosclerotic cardiovascular disease and cancer, driven by shared risk factors and overlapping pathophysiologic mechanisms. Traditional factors, such as ...

Researchers have published the recipe for an artificial-intelligence model that reviews the scientific literature better than ...

Diagnosing substance-use disorder can be difficult because of patient denial related to the stigma attached to addiction. Now a study by the University of Cincinnati has used a novel artificial ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

By Vijay Kumar Malesu New evidence shows that how medicines reach patients may be just as important as what is prescribed, with delivery systems emerging as a key driver of adherence, affordability, ...

Diagnosing substance-use disorder can be difficult because of patient denial related to the stigma attached to addiction. But a new study by the University of Cincinnati uses a novel artificial ...