• Rushikesh Shirsat
• Mr. Shyamji A. Pandey

The sole goal of artificial intelligence (AI) is to mimic human cognitive processes. It is starting a paradigm shift in the healthcare industry, driven by the expansion of healthcare data availability and the quick development of analytics tools. In this article, we've covered a study of the state of AI applications in healthcare and a discussion of their potential. AI can easily be used to analyze many sorts of healthcare and Medicare data (structured and unstructured). Various machine learning approaches for structured data, such as support vector machines and neural networks, as well as contemporary deep learning algorithms and natural language processing for unstructured data, are well-known AI techniques. Therefore, the three main illness fields that employ AI-based techniques are cardiology, neurology, and cancer. Then we went over the review of AI applications in stroke in more depth, covering the three main areas of early detection, diagnosis, problem resolution, and treatment, as well as using it to anticipate outcomes and predict evaluation. We conducted a poll on each component and its related characteristics of early AI systems, like IBM Watson, but also issues with the use of AI in the real world.

Artificial Intelligence; Deep Learning; Neural Networks; Machine Learning Algorithms

"Artificial Intelligence in Healthcare A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.d752-d757, July-2022, Available :http://www.jetir.org/papers/JETIR2207398.pdf

"Artificial Intelligence in Healthcare A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppd752-d757, July-2022, Available at : http://www.jetir.org/papers/JETIR2207398.pdf