The latest US health care bill requires health care providers to reduce the cost of care while improving the customer's medical experience. It is clear that the rapid development of artificial intelligence technology will satisfy all of this. In fact, artificial intelligence has been quietly working in the medical field for a long time. Below we will introduce you to several medical applications that use artificial intelligence technology: Vienna Medical University: Artificial intelligence monitoring of nosocomial infections The Medical University of Vienna's Artificial Intelligence Surveillance Project, which is completed by a series of data flow model assessments, primarily monitors the derivation and spread of bacteria that may cause hospital-acquired infections (NIs). Hospital or hospital acquired infections (NIs) are common complications in hospitalized patients. The possibility of electronic patient records in hospitals allows the machine to automatically identify and monitor the activities of NIs. Based on the European Monitoring System Standards, we have developed a fuzzy knowledge system that will be used to identify and monitor NIs activities in the intensive care unit and has been put into use at the Vienna General Hospital. The system, called Moni, monitors NIs primarily, including the use of medical knowledge packages (MKPs) to identify and monitor various infections in the blood, such as pneumonia, urinary tract infections, and central venous catheter-related infections. University of Pittsburgh and Carnegie Mellon University: Machine Learning Development Personal Care Program Both are also treated for breast cancer, and these two individuals may have completely different identities. One may be a marathon runner and the other is a quiet reader; perhaps one is a smoker and the other is a healthy fanatic; maybe one is 60 years old and the other is 40....the difference Where, these two female patients may need to take different treatments. The biggest challenge for scientists and doctors is how to find the treatment information they need for a particular type of patient from a vast database. It may take a few years for them to screen out the information they need, but doctors can't wait that long. Scientists at Carnegie Mellon University and the University of Pittsburgh are using artificial intelligence to extract useful information from massive amounts of data, such as electronic health records, diagnostic imaging, prescriptions, genome analysis, insurance records, and even data generated by wearable devices. To develop a sound health care plan for a specific group of people rather than a specific disease. Researchers are applying big data to design targeted treatments to stop epidemics and find ways to treat deadly diseases. “The current system is not smart, making this idea frustrating at first,†says a professor at the Carnegie Mellon University Machine Learning Department. “Data is stored in the system, it's basically dead. Machine learning and artificial intelligence can mine useful knowledge from huge data warehouses, and you can reason about it. It's like an artificial brain at work, Not just a storage system." Carnegie Mellon University and the University of Pittsburgh Medical Center worked together to complete the project, which we call the Pittsburgh Health Data Alliance. The Medical Center has agreed to provide 10 to 20 million research grants per year for their research over the next six years. "Every patient is different," Xing said. “You can take a very simple point of view. Breast cancer should be treated with drugs A or B, but the uniqueness of lifestyle, environment and other health makes everyone a unique individual. Artificial intelligence can be more than just a doctor. It is the feature point extracted by many doctors' experience, and it can also extract feature information from patients with similar points." Artificial intelligence software runs much faster than the human brain. It excels at pattern analysis and feature point extraction, which helps doctors and scientists discover critical information. For example, a 50-year-old patient with diabetes has a lot of positive changes in life after receiving a certain treatment, so doctors may try to treat it in a similar way in the future. We also learned from the penalty that the organization is working on a smartphone app that can advise users to stay away from disease and healthier lives. The app may be available in a year or so. "This app with artificial intelligence can tell people when to see a doctor, what kind of doctors should be consulted, and what can be done to stay healthy," said Philip, vice president of computer science at Carnegie Mellon University. They want to be able to launch prototypes of different products every year - from applications to machine learning tools and services, and hope that they will have more than a dozen new products in the next five to six years. They believe that all of this will redefine health care. Eas Soft Label,Eas Am Label,Am Eas Tag,Rf Soft Label WENZHOU BOSHINE ELECTRONIC SECURITY CO.,LTD , https://www.boshine.com
