Machine learning will dramatically improve health care. There are already myriad impactful ML health care applications from imaging to predicting readmissions to the back office. But there are also high-profile, expensive efforts that have not achieved their goals. In the authors' collective roles as the CEO of a care delivery analytics business, tech-driven clinicians, and the leader of tech innovation at a major health system, they have developed and used dozens of ML applications. Many of these have succeeded, but others have not.

Artificial Intelligence (AI) is slowly but surely becoming a part of the health-care industry and is bringing forth some revolutionary changes in the medical field. The introduction of Artificial Intelligence in the health-care field does not mean that the doctors will be replaced by medical robots. It means that AI will bolster the capabilities of medical pros and machines, making them smarter and a lot more useful. The main purpose of the introduction of AI into the medical field is to provide a good support system to the doctors so that they can diagnose and treat patients quickly and flawlessly. There are various ways in which artificial intelligence is transforming health care.