The rising complexity and volume of data in healthcare will necessitate the increasing usage of artificial intelligence (AI). Healthcare organizations, insurance providers, and biotech firms are all using various forms of AI today. Applications can be broken down into several major groups, including diagnostic and therapeutic guidance, patient participation and adherence, and back-end tasks. While AI has the potential to do healthcare tasks as well as or better than humans, barriers to adoption will delay the mainstream use of AI in the healthcare industry for some time. Ethical issues posed by the widespread adoption of AI in healthcare are also discussed.