Artificial intelligence for identification of focal lesions in intraoperative liver ultrasonography.

Journal: Langenbeck's archives of surgery
Published Date: Sep 7, 2022

Abstract

PURPOSE: Intraoperative ultrasonography (IOUS) of the liver is a crucial adjunct in every liver resection and may significantly impact intraoperative surgical decisions. However, IOUS is highly operator dependent and has a steep learning curve. We describe the design and assessment of an artificial intelligence (AI) system to identify focal liver lesions in IOUS.

Authors

  • Yiftach Barash
    Department of Diagnostic Imaging, Chaim Sheba Medical Center, Tel Hashomer, Israel.
  • Eyal Klang
    Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Adar Lux
    Department of Radiology, Sheba Medical Center, Tel-Hashomer, Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
  • Eli Konen
  • Nir Horesh
    Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Ron Pery
    Department of General Surgery and Transplantation, Sheba Medical Center, Tel-Hashomer, Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
  • Nadav Zilka
    Department of General Surgery and Transplantation, Sheba Medical Center, Tel-Hashomer, Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
  • Rony Eshkenazy
    Department of General Surgery and Transplantation, Sheba Medical Center, Tel-Hashomer, Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
  • Ido Nachmany
    Sackler Medical School, Tel Aviv University, Tel Aviv, Israel.
  • Niv Pencovich
    Department of General Surgery and Transplantation, Sheba Medical Center, Tel-Hashomer, Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel. niv.pencovich1@gmail.com.

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