The integration of artificial intelligence in robotic surgery: A narrative review.

Journal: Surgery
Published Date: Mar 12, 2024

Abstract

BACKGROUND: The rise of high-definition imaging and robotic surgery has independently been associated with improved postoperative outcomes. However, steep learning curves and finite human cognitive ability limit the facility in imaging interpretation and interaction with the robotic surgery console interfaces. This review presents innovative ways in which artificial intelligence integrates preoperative imaging and surgery to help overcome these limitations and to further advance robotic operations.

Authors

  • Chi Zhang
    Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • M Susan Hallbeck
    Robert D. and Patricia E. Kern Center for the Science of Healthcare Delivery, Mayo Clinic, Rochester, MN, USA; Division of Health Care Delivery Research, Mayo Clinic, Rochester, MN, USA; Department of Surgery, Mayo Clinic, Rochester, MN, USA. Electronic address: Hallbeck.Susan@Mayo.edu.
  • Hojjat Salehinejad
  • Cornelius Thiels
    Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic Rochester, MN; Department of Surgery, Mayo Clinic Rochester, MN. Electronic address: thiels.cornelius@mayo.edu.

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