Journal of Informatics Electrical and Electronics Engineering, 2021, Vol. 02, Iss. 02, S. No. 010, pp. 1-15 ISSN (Online): 2582-7006 ISSN (Online) : 2582-7006 International Conference on Artificial Intelligence (ICAI-2021) 1 Journal of Informatics Electrical and Electronics Engineering (JIEEE) A2Z Journals A Review on the use of Artificial Intelligence Techniques in Brain MRI Analysis Shruti Agarwal 1 , Gaurav Kumar Srivastava 2 , Mohd. Saif Wajid 3 123 Department of Computer Science Engineering, BBD University, Lucknow, India 1 shruti.ag1988@gmail.com, 2 gaurav18hit@bbdu.ac.in, 3 mohdsaif06@bbdu.ac.in How to cite this paper: S. Agarwal, G. K. Sri- vastava and Mohd. S. Wajid (2021) A review on the use of Artificial Intelligence Techniques in Brain MRI Analysis. Journal of Informatics Electrical and Electronics Engineering, Vol. 02, Iss. 02, S. No. 010, pp. 1-15, 2021. http://dx.doi.org/******************** Received: 06/04/2021 Accepted: 26/05/2021 Published: 06/06/2021 Copyright © 2021 by author(s) and A2Z Journals. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0 / Abstract Over the past 20 years, the global research going on in Artificial Intelligence in applica- tions in medication is a venue internationally, for medical trade and creating an ener- getic research community. The Artificial Intelligence in Medicine magazine has posted a massive amount. This paper gives an overview of the history of AI applications in brain MRI analysis to research its effect at the wider studies discipline and perceive de- manding situations for its destiny. Analysis of numerous articles to create a taxonomy of research subject matters and results was done. The article is classed which might be posted between 2000 and 2018 with this taxonomy. Analyzed articles have excessive citations. Efforts are useful in figuring out popular studies works in AI primarily based on mind MRI analysis throughout specific issues. The biomedical prognosis was ruled by way of knowledge engineering research in its first decade, whilst gadget mastering, and records mining prevailed thereafter. Together these two topics have contributed a lot to the latest medical domain. Keywords Brain MRI, Image segmentation, Artificial Intelligence, Classification. 1. Introduction Magnetic Resonance Imaging is a noninvasive technique. It is used for diagnosis and detection of disease. It is used particularly for tissues, basically to analyze anatomical structure. Magnetic Resonance Imaging gives more accuracy and other modalities for detection of neurological conditions. Magnetic Resonance Imaging also offers great flexibility with the use of contrast agents. Brain Image segmentation provides segmentation of abnormal areas for the analysis of image. Magnetic Resonance Imaging is used for detection of tumors and is used for planning of neurosurgery and radiological therapy. In Magnetic Open Access