Artificial Intelligence-enabled Decision Support in Surgery: State-of-the-art and Future Directions.

Journal: Annals of surgery
Published Date:

Abstract

OBJECTIVE: To summarize state-of-the-art artificial intelligence-enabled decision support in surgery and to quantify deficiencies in scientific rigor and reporting.

Authors

  • Tyler J Loftus
    Department of Surgery, University of Florida Health, Gainesville, FL. Electronic address: tyler.loftus@surgery.ufl.edu.
  • Maria S Altieri
    Department of Surgery, East Carolina University, Greenville, USA.
  • Jeremy A Balch
    Department of Surgery, University of Florida Health, Gainesville, FL, United States.
  • Kenneth L Abbott
    University of Michigan Medical School, Ann Arbor, MI, USA.
  • Jeff Choi
    From the Division of General Surgery (J.C., K.M., D.I.H., J.D.F.), Department of Surgery, Department of Biomedical Data Science (J.C.), Stanford University; Program in Epithelial Biology (N.Y.L.), Stanford University School of Medicine; and Department of Computer Science (A.P., K.C.), Stanford University, Stanford, California.
  • Jayson S Marwaha
    American College of Surgeons Health Information Technology Committee and Artificial Intelligence Subcommittee, Chicago, IL.
  • Daniel A Hashimoto
    Department of Surgery, Massachusetts General Hospital, Boston, MA.
  • Gabriel A Brat
    American College of Surgeons Health Information Technology Committee and Artificial Intelligence Subcommittee, Chicago, IL.
  • Yannis Raftopoulos
    American College of Surgeons Health Information Technology Committee and Artificial Intelligence Subcommittee, Chicago, IL.
  • Heather L Evans
    Department of Surgery, Medical University of South Carolina, Charleston, South Carolina.
  • Gretchen P Jackson
    IBM Watson Health, IBM Corporation, Cambridge, MA.
  • Danielle S Walsh
    Department of Surgery, University of Kentucky, Lexington, KY, USA.
  • Christopher J Tignanelli
    From the Department of Surgery (C.J.T., G.B., G.B.M.), University of Minnesota, Minneapolis, Minnesota; Institute for Health Informatics (C.J.T., G.M.S., R.F., R.M., B.C.K., S.P., E.A.L., G.B.M.), University of Minnesota, Minneapolis, Minnesota; Department of Surgery (C.J.T., J.L.G.), North Memorial Health Hospital, Robbinsdale, Minnesota; North Memorial Health Hospital Emergency Medical Services (A.L.T.), Robbinsdale, Minnesota; and Department of Emergency Medicine (J.W.L.), North Memorial Health Hospital Emergency Medical Services, Robbinsdale, Minnesota.