Hong Kong-based Insilico Medicine published research Monday showing that its deep learning system could identify potential treatments for fibrosis. That system, called generative tensorial reinforcement learning, or GENTRL for short, was able to find six promising treatments in just 21 days, one of which showed promising results in an experiment involving mice. The research has been
Nearly $12 million machine will let MIT researchers run more ambitious AI models. IBM designed Summit, the fastest supercomputer on Earth, to run the calculation-intensive models that power modern artificial intelligence (AI). Now MIT is about to get a slice. IBM pledged earlier this year to donate an $11.6 million computer cluster to MIT modeled
Researchers in the US have developed a rapid, artificial intelligence (AI)-based test that can identify patients with an abnormal heart rhythm, even when it appears normal. This 10 second test for atrial fibrillation could be a significant improvement over current test procedures that can take weeks or even years (Lancet 10.1016/S0140-6736(19)31721-0). Atrial fibrillation is a common
Though the brain is a very slow machine, its capabilities exceed typical state-of-the-art, ultrafast artificial intelligence algorithms; hence, a revolution in deep learning must emerge, as experimentally and theoretically demonstrated by physicists Machine learning, introduced 70 years ago, is based on evidence of the dynamics of learning in our brain. Using the speed of modern
A new report, with contributions from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), part of the National Institutes of Health, provides a roadmap for translational research on artificial intelligence (AI) in medical imaging. The report, published in the May 28, 2019, Journal of the American College of Radiology, identifies research priorities that leverage
Source: JAMA Artificial intelligence (AI) and its many related applications (ie, big data, deep analytics, machine learning) have entered medicine’s “magic bullet” phase. Desperate for a solution for the never-ending challenges of cost, quality, equity, and access, a steady stream of books, articles, and corporate pronouncements makes it seem like health care is on the
One of lung cancer’s most lethal attributes is its ability to trick radiologists. Some nodules appear threatening but turn out to be false positives. Others escape notice entirely, and then spiral without symptoms into metastatic disease. On Monday, however, Google unveiled an artificial intelligence system that — in early testing — demonstrated a remarkable talent
As a physician trying to keep up with all the new information about artificial intelligence, I want to know how machine learning and deep learning are impacting medicine now and to separate the hype from reality. Here’s a look at some ways AI is being used successfully in health care and some ways it is
A predictive machine learning model was able to identify how effectively patients with Crohn’s disease would respond to long-term usage of ustekinumab, according to a new study in JAMA Network Open. Researchers from the University of Michigan trained the model using demographic and laboratory data obtained in previous clinical trials. The data described 401 patients with active Crohn’s
Machine learning algorithm predicts sudden death in heart failure patients for the first time Artificial intelligence (AI) has shown promise to select heart failure patients for expensive treatments to prevent lethal arrhythmias, reports a study presented today at ICNC 2019. (1) The study is the first to use a machine learning algorithm to predict sudden
