Tag Archives: Clinical

Artificial intelligence in intensive care units: University Hospital Freiburg relies on x-cardiac technology in clinical routine

Berlin: Berlin-based x-cardiac GmbH is pleased to announce that Freiburg University Hospital has become the second pilot customer for its AI-based software “x-c-bleeding” for predicting severe bleeding complications after cardiac surgery. With the implementation of “x-c-bleeding”, the University Hospital Freiburg takes another important step towards AI-based medicine. Severe post-operative bleeding and acute renal injury are… Read More: Artificial intelligence in intensive care units: University Hospital Freiburg relies… »

Data from routine clinical care shows people with HIV have an increased risk of dementia and that it’s diagnosed at a younger age

The risk of dementia in older age is increased by 58% for people living with HIV compared to their HIV-negative peers, according to US research published in the online edition of AIDS. The average age at dementia diagnosis was much younger for people with HIV: 67 years compared to 78 years for people without HIV.… Read More: Data from routine clinical care shows people with HIV have… »

Patches Made of Heart Tissue Going to Clinical Trials

Stem cell therapies to heal damaged hearts have proven to be lacking so far, probably because simply injecting new cells into afflicted regions isn’t enough. Researchers from Imperial College London have now created patches made of cardiac tissue to sew over damaged areas of the heart. These patches, which can beat on their own to… Read More: Patches Made of Heart Tissue Going to Clinical Trials »

Challenges in using predictive analytics within clinical workflow

You can lead a horse to water, but you can’t make it drink—this adage is especially true when it comes to implementing predictive analytics in a healthcare setting. The use of artificial intelligence and machine learning solutions to detect the likelihood of disease is still a hot topic. As anyone who attended this year’s HIMSS… Read More: Challenges in using predictive analytics within clinical workflow »