Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review.

Journal: European journal of orthopaedic surgery & traumatology : orthopedie traumatologie
PMID: 38010443

Abstract

PURPOSE: This systematic review aimed to investigate the reliability of AI predictive models of intraoperative implant sizing in total knee arthroplasty (TKA).

Authors

  • Loay A Salman
    Department of Orthopaedic Surgery, Surgical Specialty Center, Hamad General Hospital, Hamad Medical Corporation, PO Box 3050, Doha, Qatar. loayasalman@gmail.com.
  • Harman Khatkar
    Royal London Hospital, Whitechapel, London, UK.
  • Abdallah Al-Ani
    Office of Scientific Affairs and Research, King Hussein Cancer Center, Amman, Jordan.
  • Osama Z Alzobi
    Department of Orthopaedic Surgery, Surgical Specialty Center, Hamad General Hospital, Hamad Medical Corporation, PO Box 3050, Doha, Qatar.
  • Abedallah Abudalou
    Department of Orthopaedic Surgery, Surgical Specialty Center, Hamad General Hospital, Hamad Medical Corporation, PO Box 3050, Doha, Qatar.
  • Ashraf T Hatnouly
    Department of Orthopaedic Surgery, Surgical Specialty Center, Hamad General Hospital, Hamad Medical Corporation, PO Box 3050, Doha, Qatar.
  • Ghalib Ahmed
    Department of Orthopaedic Surgery, Surgical Specialty Center, Hamad General Hospital, Hamad Medical Corporation, PO Box 3050, Doha, Qatar.
  • Shamsi Hameed
    Department of Orthopaedic Surgery, Surgical Specialty Center, Hamad General Hospital, Hamad Medical Corporation, PO Box 3050, Doha, Qatar.
  • Mohamed AlAteeq Aldosari
    Department of Orthopaedic Surgery, Surgical Specialty Center, Hamad General Hospital, Hamad Medical Corporation, PO Box 3050, Doha, Qatar.

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