Researchers have used AI-powered risk prediction to accurately screen the entire inpatient population of a community hospital for sepsis, enabling early treatment of the stricken.

One point of easier-than-normal entry is nonclinical employees working from home. Another is providers’ weakened state. Many are strapped for cash and, as a result, stretching resources.

Going by biomarkers of inflammation, taking care of aging or ailing loves ones is not detrimental to the caregiver’s own health and wellbeing. In fact, it may even make one healthier.   

Healthcare AI watchers would be unwise to overlook dermatology, as it is a medical specialty “at the precipice of an artificial intelligence revolution.”

As researchers have turned to AI for battling COVID-19, raising hopes and making headlines, the shortcomings of the studies have drawn the ire of numerous statistics experts.

Researchers have developed a new AI model that could be a game-changer in the treatment of blindness and vision loss.

It’s a painful paradox that hospitals can help COVID patients recover while helping the virus spread—and not only to non-COVID patients but also to healthcare workers, support staff and even visitors.

In February and March 2020, the inevitable happened: COVID-19 came to the United States, hitting the country’s healthcare system like a 10-pound sledgehammer.