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
Source: TMF The next telecommunication revolution is just around the corner: the promises of high bandwidth, low latency and low-power-low-cost of 5G will open the gate to a flood of new inventions and the implementation of ideas, which have already been for long in the public consciousness – such as stable augmented reality or truly
Four clinical sepsis phenotypes were identified that correlated with host-response patterns and clinical outcomes, researchers reported here. The four novel sepsis phenotypes — alpha (α), beta (β), gamma (γ), and delta (δ) — with different demographics, laboratory values, and patterns of organ dysfunction were derived, validated, and shown to correlate with biomarkers and mortality, according
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
By the time they reach school age, about 90 percent of children will have experienced a condition in which fluid fills the middle ear, muffling sound and sometimes triggering infection. Diagnosis usually requires a visit to a specialist—but researchers have now developed an app that detects this fluid just as accurately, with only a smartphone
Only about 25 percent of U.S. patients survive when their hearts stop in hospitals. Crucial minutes elapse before help arrives, sometimes because alarms are missed amid the din of beeping monitors. But the call that day didn’t come from within the hospital. It came from a darkened room in an office park several miles away, where a
For more than a decade now, since 2008 when Marvel Studio’s Iron Man debuted, pop culture fans have been fascinated by the idea of people donning robot parts to be stronger or faster. Medicine and technology teaming up to enhance physical ability is not new, either, with several generations of both theory and application finding success. Until
Individuals who use healthcare apps such as fitness trackers, weight loss, wellness, exercise, etc., BEWARE!A couple of recent developments have highlighted the fact that most apps are not subject to HIPAA, which means that with broadly-worded privacy policy these healthcare apps can and do readily share healthcare and other data collected by the apps with third
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
