Artificial Intelligence has become a hot topic in the present tech-driven world. Artificial Intelligence is one of the promising technology that has been greatly evolved from the past years. Artificial intelligence (AI) aims to serve as human cognitive functions. It will be of great importance to healthcare, p by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI applications in healthcare and discuss its applications in future. AI can be applied to various types of structured and unstructured healthcare data. There are various popular AI techniques that include machine learning methods for both structured data and unstructured data, such as support vector machine, neural networks, natural language processing respectively. The disease like cancer, neurology, and stokes can be easily detected by AI. We conducted a survey about AI applications in stroke, in major areas that include detection and diagnosis, treatment, and lastly outcome prediction and prognosis evaluation. Our project is based on how we can make accurate predictions of stroke occurrence that can be of great help for the doctors. This can be time-saving. It can also serve as a helping hand for the new practitioners. The predictive algorithm that will be used will increase the efficiency of stroke prevention that will surely improve the patients’ health through early detection and treatment. The objective of this project is to have a system that can make accurate predictions on stroke so that it can be cured as early as possible. For this, we need some predictive algorithms and parameters that includes patient’s characteristics like age, gender, weight, BMW, height etc. We will have a data model that will analyze all these parameters. After having this survey, whenever a new patient will come this trained data model will compare the new parameters with it surveyed parameter with the help of learning algorithm.