AI can identify patients at risk of dying—of any cause—within the next year or of developing an irregular heartbeat, according to two new studies to be presented at the American Heart Association’s Scientific Sessions 2019.
Nurses aren’t able to spend the time needed with patients and more often are faced with workplace challenges including violence, according to a new survey from AMN Healthcare.
The novel method uses a deep neural network to improve fluorescence lifetime imaging, which allowed scientists at Rensselaer Polytechnic Institute to view molecular-level interactions within cells.
AI is not part of their current plans (36%), more than quarter (27%) are assessing and planning to deploy AI in the future and 23% are advanced and proficient with AI. Read more
Millions of Americans are unaware of common heart attack symptoms, according to researchers, including a subset of 13.5 million people who admit to not knowing a single symptom of MI.
RSNA 2019, the world’s largest radiology conference, kicks off at Chicago’s McCormick Place on Sunday, Dec. 1. This year's show promises to include more AI content than ever before.
Besides pinpointing microfractures, the researchers believe combining color spectral CT imaging with their novel nanoparticles could help detect more serious problems such as heart blockages.
Google and Ascension, the nation’s second-largest health system, are insisting their newly revealed data partnership is not secret, despite having the code name Project Nightingale.
