AI has shown strong potential for predicting which recently hospitalized patients will develop pressure injuries (PIs), also known as pressure ulcers or bedsores, if they aren’t treated early with preventive medicine.
After training deep neural networks on around 4,000 slide images from around 40 biopsied kidney patients, UCLA engineers have virtually re-stained tissue images for speedier high-accuracy diagnostics than a human histotechnologist could support.
Physicians enjoyed a substantial rise in mean wage growth between 2001 and 2017, while registered nurses and healthcare practitioners such as dentists and chiropractors saw a modest bounce in pay.
An open brawl broke out late last week after the nation’s largest nurses’ union accused hospitals of “deliberately refusing” to pony up for optimal RN-to-patient staffing ratios—and a hospital industry spokesperson hit back.
Along with AI in its various iterations, the list may include virtual and augmented reality, 3D printing, robotics and other innovative technologies changing healthcare delivery.