Artificial Intelligence (AI) is a growing area of Computer Science that combines the technologies with data science to develop intelligent, highly computation-able systems. Its ability to automatically analyse and query huge sets of data has rendered it essential to many fields such as healthcare. This article introduces you to Artificial Intelligence, how it works and what is its central role in biomedical engineering. It brings to light new developments in medical science, why it is being applied in biomedicine, key problems in computer vision and AI, medical applications, diagnostics and live health monitoring. This paper starts with an introduction to Artificial Intelligence and its major subfields before moving into AI revolutionizing healthcare technology. There is a lot of emphasis on how it will transform Biomedical Engineering using AI-based devices like biosensors. Not only can these machines detect abnormalities in a patient’s physiology, they also allow chronic health tracking. Further, the review also provides an overview on trends of AI-enabled healthcare technologies and concludes that the adoption of Artificial Intelligence in healthcare will be very high. The most promising are in diagnostics, with highly accurate, non-invasive diagnostics such as advanced imaging and vocal biomarker analysers leading medicine into the future.