Artificial Intelligence Optical Biopsy for Evaluating the Functional State of Wounds.

Journal: The Journal of surgical research
Published Date: Aug 8, 2023

Abstract

INTRODUCTION: The clinical characterization of the functional status of active wounds in terms of their driving cellular and molecular biology remains a considerable challenge that currently requires excision via a tissue biopsy. In this pilot study, we use convolutional Siamese neural network (SNN) architecture to predict the functional state of a wound using digital photographs of wounds in a canine model of volumetric muscle loss (VML).

Authors

  • Joe Teague
    Department of Surgery, University of Vermont, Burlington, Vermont.
  • Damien Socia
    Department of Surgery, University of Vermont, Burlington, Vermont.
  • Gary An
    Department of Surgery, University of Vermont, USA.
  • Stephen Badylak
    McGowan Institute of Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Scott Johnson
    Medical College of Wisconsin, Milwaukee, WI, USA.
  • Peng Jiang
    Department of Joint Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong 250021, China.
  • Yoram Vodovotz
    Department of Surgery, University of Pittsburgh, Pittsburgh, PA, United States.
  • R Chase Cockrell
    Department of Surgery, University of Vermont, Burlington, Vermont. Electronic address: Robert.cockrell@med.uvm.edu.

Keywords

External Resources

Popular Topics
Recent Journals