Adopting sophisticated information technology (IT) in nursing homes leads to better patient care, according to a recent study from the University of Missouri published in Nursing Care Quality.

The FDA has given 510(k) clearance to software that uses AI to detect the presence of brain bleeds in CT images.

Superbug infections could claim 2.4 million lives across Europe, North America and Australia over the next 30 years unless more is done to limit the growing antibiotic resistance. Fortunately, the issue could be stemmed for about $2 per person by investing in measures such as handwashing and prudent antibiotic prescription, according to the Organisation for Economic Co-operation and Development (OECD).

Deep-learning models trained to detect pneumonia from chest X-rays performed worse when tested on X-rays from outside their original hospital systems, suggesting AI tools should undergo a wide range of testing before being used in clinical settings.

Artificial intelligence may help stop the “downward spiral in productivity” in the U.S. healthcare system, which has been plagued by labor-intensive, inefficient administrative tasks, according to an article in the Harvard Business Review.

As social determinants of health (SDH) play a more prominent role in healthcare, more providers are looking for ways to incorporate social needs into electronic health records. But documenting SDH alongside other health information in EHRs isn’t so easy, according to a recent study published in the Annals of Family Medicine.

Three more states elected to expand Medicaid in the midterm elections, including Idaho, Nebraska and Utah, NBC News reported.

A deep learning algorithm developed using imaging data from more than 1,000 Alzheimer’s disease (AD) patients can accurately predict the presence of AD more than six years before a doctor finalizes a diagnosis, researchers reported in Radiology Nov. 6.