Abstract #1894

Estimating time-to-total knee replacement surgery using deep learning

Eisa Hedayati¹, Haresh Rajamohan², Lily Zhou³, Kyunghyun Cho², Gregory Chang¹, Richard Kijowski¹, and Cem M Deniz¹

¹Radiology, New York University Langone health, New York, NY, United States, ²Center for data Science, New York University, New York, NY, United States, ³Radiology & diagnostic Imaging, University of Alberta, Edmonton, AB, Canada

Synopsis

Keywords: Machine Learning/Artificial Intelligence, Osteoarthritis"When do I need my knee replaced? " is a common question of patients with progressed osteoarthritis conditions. However, answering that question is not trivial, especially for cases that do not result in an immediate surgery. To help doctors addressing this question we employed neural networks to recommend an estimated subject-specific date for the total knee replacement (TKR).

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