The Prediction of Venous Thromboembolism Using Artificial Intelligence and Machine Learning in Lower Extremity Arthroplasty: A Systematic Review.

Journal: Arthroplasty today
Published Date:

Abstract

BACKGROUND: Venous thromboembolism (VTE), including deep vein thrombosis and pulmonary embolism, is a common and serious complication following lower extremity arthroplasty, such as total hip and knee arthroplasty. Due to the increasing number of these surgeries, accurately predicting VTE risk is crucial. Traditional clinical prediction models often fall short due to their complexity and limited accuracy.

Authors

  • Davood Dalil
    Faculty of Medicine, Shahed University, Tehran, Iran.
  • Sina Esmaeili
    Student Research Committee, Faculty of Medicine, Shahed University, Tehran, Iran.
  • Ehsan Safaee
    Student Research Committee, Faculty of Medicine, Shahed University, Tehran, Iran.
  • Sajad Asgari
    Student Research Committee, Faculty of Medicine, Shahed University, Tehran, Iran.
  • Nooshin Kejani
    Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Keywords

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