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.
Contrary to popular perceptions, while much leading-edge innovation involving AI is coming out of China, the advances emanating from the Middle Kingdom are limited to just a few platform technologies and market segments.
Kheiron Medical Technologies, a London-based machine learning startup focused on helping radiologists detect cancer at an early stage, has raised $22 million in a Series A funding round.
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.
Auditory specialists placing Cochlear implants in hearing-impaired patients may position the devices better with an assist from AI than with conventional methods.
Riverain Technologies, a provider of clinical AI software, is receiving a $15 million infusion of investment funding led by Ping An Insurance Company’s Ping An Global Voyager Fund.
Portable ultrasound maker Fujifilm SonoSite has turned to the nonprofit Allen Institute for Artificial Intelligence’s AI2 Incubator for help harnessing AI’s image-interpretation potential.
Jvion, an AI-enabled prescriptive analytics company that aims to prevent harms, has joined ranks with integrated care network Novant Health to become the first member of the Novant Health Institute of Innovation & Artificial Intelligence.
