Deep Learning for The Management of Deep Vein Thrombosis

Venous thromboembolism (VTE) is a major complication in total joint arthroplasty; therefore, risk stratification and prophylaxis are crucial. In this episode we will learn about an algorithm that could predict the probability of developing VTE and major bleeding in total joint arthroplasty patients, for everyday use in clinical practice.

References:

  1. Shohat N, Ludwick L, Sherman MB, Fillingham Y, Parvizi J. Using machine learning to predict venous thromboembolism and major bleeding events following total joint arthroplasty. Sci Rep. 2023;13(1):2197. Available at: https://viatris-coe.s3.eu-central-1.amazonaws.com/general/gr/general/THROMB_1_Using_machine_learning_to_predict_venous_thromboembolism_and_major_bleeding_events_following_total_joint_arthroplasty.pdf
  2. Wang X, Xi H, Geng X, Li Y, Zhao M, Li F, et al. Artificial intelligence-based prediction of lower extremity deep vein thrombosis risk after knee/hip arthroplasty. Clin Appl Thromb Hemost. 2023;29:10760296221139264. Available at: http://dx.doi.org/10.1177/10760296221139263
  3. Seo JW, Park S, Kim YJ, Hwang JH, Yu SH, Kim JH, et al. Artificial intelligence-based iliofemoral deep venous thrombosis detection using a clinical approach. Sci Rep. 2023;13(1):967. Available at: https://viatris-coe.s3.eu-central-1.amazonaws.com/general/gr/general/THROMB_3_Artificial_intelligence%E2%80%91based_iliofemoral_deep_venous_thrombosis_detection_using_a_clinical_approach_.pdf"

NON-2023-12175-DIC23