Artificial intelligence in medicine -- predicting patient outcomes and beyond - Scope

Machines are getting better and better at analyzing complex health data to help physicians better understand their patients' future needs. In a study out today in Nature Digital Medicine, an advanced algorithm evaluated de-identified electronic health records of more than 216,000 adult patient hospitalizations to predict unexpected readmissions, long hospital stays, and in-hospital deaths more accurately than previous approaches. I caught up with one of the authors, Nigam Shah, MBBS, PhD, an associate professor at Stanford, to learn about the new study and discuss the implications for artificial intelligence in medicine. What is deep learning and how does it fit in the larger universe of artificial intelligence? Deep learning is one of several machine learning techniques that can be used to build intelligent systems.