Showing posts with the label real-world

The Real-World Benefits of Machine Learning in Healthcare

The real-world benefits of machine learning in healthcare It is safe Medicine has many manual procedures. During the training, I hand wrote lab values, diagnoses, and other chart notes on paper. I always knew this was the place where technology could help improve my workflow and hopefully it also improves patient care. Since then, the progress of electronic medical records has been remarkable, but the information they provide is no better than replacing old paper charts. If technology is to improve care in the future, then the electronic information provided to doctors must be enhanced by the power of analytics and machine learning. Using these types of advanced analytics, we can provide better information to doctors on the point of patient care. With easy access to blood pressure and other important signals, I have seen my patients become regular and expectant. Imagine how much more useful it would be if I could read the last 500 blood pressure readings, laboratory test results, race,

Machine Learning: From hype to real-world applications

Machine learning: real-world applications from hype How to use emerging technology business value. The hype is real. Artificial Intelligence (AI) and Machine Learning (ML) are all over the media, and everyone wants to get involved in the technology race. The progress that has been made over the last few years has been tremendous, and you've probably heard claims such as "AI is the new electricity" and "AI will revolutionize our society completely." I will not comment on those statements, but whether we can all safely agree, is it certainly very interesting about these technologies. However, all this attention raises the important question: can it really live up to the hype? In some areas, technology caught on, and it even surpassed the hype. Within image recognition, for example, the task of identifying objects and extracting information from images, AI is now moving beyond human-level performance (for example, machines are becoming better than humans at recogni