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In the last one decade, AI/ML/DL has been considered a core research area in healthcare. As we know that the kidneys are important internal body organs that help in regulation of the fluid within the body such that they relieve the body from the existence of waste. Disease is difficult to detect early on by normal clinical process. Many researchers have focused their work to identify kidney disease or classify kidney disease using computational technology because the mortality rate is very high in kidney patients. The primary focus of this paper is to review the current research work based on computational advancement in the area of kidney disease and also identify the gaps or future scope to improve the process of classifying kidney disease at earlier stage.

Comprehensive Analysis of State-of-the-Art CAD Tools and Techniques for Chronic Kidney Disease (CKD)