Machine Learning and Artificial Intelligence in Surgical Research.

Journal: The Surgical clinics of North America
Published Date:

Abstract

Machine learning, a subtype of artificial intelligence, is an emerging field of surgical research dedicated to predictive modeling. From its inception, machine learning has been of interest in medical and surgical research. Built on traditional research metrics for optimal success, avenues of research include diagnostics, prognosis, operative timing, and surgical education, in a variety of surgical subspecialties. Machine learning represents an exciting and developing future in the world of surgical research that will not only allow for more personalized and comprehensive medical care.

Authors

  • Shruthi Srinivas
    Department of Colorectal and Pelvic Reconstructive Surgery, Nationwide Children's Hospital, Columbus, Ohio, USA.
  • Andrew J Young
    Division of Traumatology, Emergency Surgery, and Surgical Critical Care, Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: andrew.young@pennmedicine.upenn.edu.