• Dr.Mudita Sinha

Artificial intelligence (AI) is to mimic human intellectual functions. It is bringing a noticeable change in healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. In this research paper the present status of AI applications in healthcare is been surveyed and future applications have been discussed. AI can be applied to various types of healthcare data (structured and unstructured). Popular AI techniques include machine learning methods for structured data, such as the classical support vector machine and neural network, and the modern deep learning, as well as natural language processing for unstructured data. Major disease areas that use AI tools include cancer, neurology and cardiology. We then review in more details the AI applications in stroke, in the three major areas of early detection and diagnosis, treatment, as well as outcome prediction and prediction evaluation. We conclude with discussion about pioneer AI systems, such as IBM Watson, and hurdles for real-life deployment of AI.

Artificial Intelligence, Health care, Technology, Machine Learning

"Increasing Involvement of Artificial Intelligence in Healthcare with Special Reference To Strokes", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.746-751, June-2018, Available :http://www.jetir.org/papers/JETIR1806610.pdf

"Increasing Involvement of Artificial Intelligence in Healthcare with Special Reference To Strokes", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp746-751, June-2018, Available at : http://www.jetir.org/papers/JETIR1806610.pdf