A Comprehensive Review on Knee Osteoarthritis Detection using Medical Imaging and Machine Learning

The primarily focus of this review paper is to give an encompassing and substantial information about Arthritis disease, it's variants and the most recurrent type of Arthritis which persists in today's times i.e. KOA (Knee Osteoarthritis). In this review paper, we also tried to review various medical imaging techniques that can be used for the detection or diagnosing KOA and different techniques based upon Machine Learning that can be employed in the automatic detection of Knee Osteoarthritis (KOA) without much human intervention. “Joint inflammation” is the alternate term for Arthritis disease. Joints can be described as the areas in the body where two bones meet and allow the movement such as the elbow or knee. Arthritis is a very commonly found disease which contributes to one of the primary causes of disability globally. Osteoarthritis is a type of arthritis which basically results from repeated strain on joint cartilage. Osteoarthritis is also termed as “wear and tear” arthritis. Applying machine learning principles to medical data has the capability to significantly improve disease identification and early diagnosis. In this paper, we have comprehensively reviewed various Medical Imaging techniques that facilitates automated diagnosis of KOA with the help of state of art ML techniques.