A meta-analysis of 14 studies has shown AI algorithms correctly diagnose diseases in medical imaging around 87% of the time while ruling out specific diseases with 93% accuracy.

Machine learning can read cardiac MRIs with the same accuracy as a physician, with much higher speed, according to a recent study published in Circulation: Cardiovascular Imaging and reported by Cardiovascular Business.

Health insurance giant Humana is hoping to make its new digital health hub in Boston look and feel like a technology startup.

Deep-learning analysis of eye scans has proven superior to conventional analysis of the same images for the task of detecting and tracking vision diseases like glaucoma and age-related macular degeneration.

Researchers in Australia are about to begin testing, in humans, a brain-computer interface created to restore communication in people with severe paralysis.  

The number of lung injury cases reported from around the country has risen to 530, according to the CDC’s latest update. The number of reported deaths has been upped to seven, as of September 19.

With patients seeing higher medical bills than ever and healthcare costs continuing to rise, healthcare organizations need to stay on top of the revenue cycle to ensure they can capture payments and be prepared for changes in 2020.

Auditory specialists placing Cochlear implants in hearing-impaired patients may position the devices better with an assist from AI than with conventional methods.