Machine Learning Usage for Knee Condition: Osteoarthritis and TKA, Using Image Processing Among Medical Patients
摘要
Artificial Intelligence is gaining grounds in not only technical areas of applications like IT Industry, Management areas like Logistics Management, Human Resources, Fintech, but also, Biomedical, Healthcare and Hospitality services. To the extent that the patients are getting automated phone calls for doctor appointments, medicine refilling, body check-up routine, etc. Also, huge amounts of data which is generated in forms of X-Ray images, CT scans, MRIs, Sonography, Blood Test reports, Urine Reports, etc. are all used for healthcare analytics and predicting future behavior of individual patients visiting the Hospital concerned. Moreover, AI has also entered the Operation Theatre (OT) to assist doctors, best example is Total Knee Arthroplasty, where robotic arm is programmed to perform robotic surgery on knee and do knee replacement. In this paper we intend to review systems where we have AI based model (on human body parameters) compared with doctor’s analysis on the same parameters. We then formulate the results and come up with concrete solution for the problem. Literature review has clearly brought down that there are different aspects of Healthcare and AI which is a very vast domain in itself, but narrowing it to Knee Operations and Osteoarthritis, use of AI as power of Prediction, it is quite a game changer worth the efforts as it has gained much importance technically both in medical as well as computer science field.