Estimation of time-to-total knee replacement surgery with multimodal modeling and artificial intelligence.

Journal: Computers in biology and medicine
Published Date: May 27, 2025

Abstract

BACKGROUND: The methods for predicting time-to-total knee replacement (TKR) do not provide enough information to make robust and accurate predictions.

Authors

  • Ozkan Cigdem
    Department of Radiology, New York University Grossman School of Medicine, 227 E 30th St, 7th Floor, New York, NY 10016, United States.
  • Eisa Hedayati
    Department of Radiology, New York University Grossman School of Medicine, 227 E 30th St, 7th Floor, NY 10016, United States of America.
  • Haresh R Rajamohan
    Center of Data Science, New York University, NY, United States of America.
  • Kyunghyun Cho
    Department of Information and Computer Science, Aalto University School of Science, Finland.
  • Gregory Chang
    New York University School of Medicine, New York, New York, USA.
  • Richard Kijowski
    Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
  • Cem M Deniz
    Department of Radiology, New York University Grossman School of Medicine, 227 E 30th St, 7th Floor, New York, NY 10016, United States.

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