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
Germany and France are two flourishing AI hubs, but the UK has been named the European AI “powerhouse” in a new report from London-based investment firm MMC Ventures. Published earlier this month, the analysis sheds light on the hype around the technology, but identifies healthcare as an area of increasing focus for AI entrepreneurs as systems
What A foundational research roadmap for artificial intelligence (AI) in medical imaging was published this week in the journal Radiology. The report was based on outcomes from a workshop to explore the future of AI in medical imaging, featuring experts in medical imaging, and hosted at the National Institutes of Health in Bethesda, Maryland. The workshop
A team from Heidelberg University Hospital and the German Cancer Research Centre has developed a new method for the automated image analysis of brain tumors. In their recent publication, the authors show that machine learning methods carefully trained on standard magnetic resonance imaging (MRI) are more reliable and precise than established radiological methods in the
As artificial intelligence continues to evolve, diagnosing disease faster and potentially with greater accuracy than physicians, some have suggested that technology may soon replace tasks that physicians currently perform. But a new study from the Google AI research group shows that physicians and algorithms working together are more effective than either alone. It’s one of
