The purpose of Artificial Intelligence is to make computers more useful in solving problematic healthcare challenges and by using computers we can interpret data which is obtained by diagnosis of various chronic diseases like Alzheimer, Diabetes, Cardiovascular diseases and various types of cancers like breast cancer, colon cancer etc. It helps in early detection of various chronic diseases which reduces economic burden and severity of disease. Various automated systems and tools like Brain-computer interfaces (BCIs), arterial spin labeling (ASL) imaging, ASL-MRI, biomarkers, iT bra, Natural language processing (NLP)and various algorithms helps to minimize errors and control disease progression. The computer assisted diagnosis, decision support systems, expert systems and implementation of software may assist physicians to minimize the intra and inter-observer variability. To streamline the process of diagnosis artificial intelligence methods specifically artificial neural networks (ANN), Fuzzy approach can be implemented to handle diverse type of medical data. ANN technique discovers the hidden patterns and correlation in medical data and effective in designing support system in clinical field. The application of AI facilitates interpretation of results with high accuracy and speed. This review will explore how artificial intelligence and machine learning can save lives by helping individual patients beat the odds. Some examples of artificial intelligence assisted diagnosis of various diseases are given below.