Dr. Michael Pfeffer is a busy man. He is the Chief Information Digital Officer at Stanford Health Care and also works as a doctor and teacher. He loves his job because it lets him see how technology can make healthcare better. He thinks technology is most useful when it helps doctors and patients in
Cancer is a growing problem. By 2050, there could be 35 million cases worldwide. This is a lot for healthcare systems to handle. Treating cancer has changed. Now, doctors use precision medicine. This means treatments are made just for you. But, there's a lot of data to look at. It's too much for hum
Deep learning is making waves in predicting how long heart procedures take. Researchers focused on using video analysis to figure out the different stages of procedures in a cath lab. They found that certain deep learning models, like InceptionTime and LSTM-FCN, were the best at guessing when a proc
Picture a hospital where machines can mimic human learning. That’s what’s possible with natural language processing (NLP) tools for healthcare providers. Imagine walking into a hospital with machine learning models right behind the scenes, churning through data, learning from real-world scenarios, a
