Readily available procedure pricing may be the key to reducing healthcare costs in the country, according to new research from the University of Michigan Ann Arbor (UM).

Researchers have trained an AI algorithm to identify and locate radius and ulna fractures on wrist radiographs with 98 percent sensitivity and 73 percent specificity, on a per study basis. Their findings were published in the Radiological Society of North America’s new journal Radiology: Artificial Intelligence.

In an effort to understand the ongoing physician burnout crisis, Lightning Bolt Solutions, a company that offers AI-based, physician shift scheduling technology, is attempting to study one million physician shift hours.

New research published in JAMA suggests primary care follow-up within seven days of a hospitalization is associated with fewer Medicaid readmissions.

A seemingly harmless disease could actually be a cause of Alzheimer’s disease, according to a recent study reported by BBC News.

The Health Care Cost Institute (HCCI) has ended its data collaboration relationship agreement with UnitedHealthcare, the nation’s largest health insurer. The relationship provided HCCI with de-identified insurance claims for data analysis of U.S. healthcare spending, utilization and market performance.

Researchers at the University of Southern California Viterbi School of Engineering have utilized machine learning to detect clusters of potential biomarkers of Alzheimer’s disease. This will allow for earlier diagnosis and could potentially lead to non-invasive methods of tracking the progression of the disease in impacted patients. Findings were published in the journal Frontiers in Aging NeuroScience.

The Radiological Society of North America (RSNA) has published the first issue of its new online journal focusing solely on AI in radiology.