Autonomous Multi-modality Burn Wound Characterization using Artificial Intelligence.

Journal: Military medicine
Published Date: Nov 8, 2023

Abstract

INTRODUCTION: Between 5% and 20% of all combat-related casualties are attributed to burn wounds. A decrease in the mortality rate of burns by about 36% can be achieved with early treatment, but this is contingent upon accurate characterization of the burn. Precise burn injury classification is recognized as a crucial aspect of the medical artificial intelligence (AI) field. An autonomous AI system designed to analyze multiple characteristics of burns using modalities including ultrasound and RGB images is described.

Authors

  • Maxwell J Jacobson
    Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA.
  • Mohamed El Masry
    School of Medicine, Indiana University, Indianapolis, IN 46202, USA.
  • Daniela Chanci Arrubla
    Department of Computer Science, Emory University, Atlanta, GA 30322, USA.
  • Maria Romeo Tricas
    Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA.
  • Surya C Gnyawali
    School of Medicine, Indiana University, Indianapolis, IN 46202, USA.
  • Xinwei Zhang
    Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Guangzhou Road 300, Nanjing, 210029, Jiangsu, China.
  • Gayle Gordillo
    School of Medicine, Indiana University, Indianapolis, IN 46202, USA.
  • Yexiang Xue
    Department of Computer Science, Cornell University , Ithaca, New York 14850, United States.
  • Chandan K Sen
    Department of Surgery, School of Medicine, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, United States.
  • Juan Wachs
    From the City of Edmonton, Fire Rescue, Edmonton, AB (McKee); the Tele-Mentored Ultrasound Supported Medical Interventions (TMUSMI) Research Group Collaborators (add city) (McKee, LaPorta, Wachs, Kirkpatrick); the Regional Trauma Services Foothills Medical Centre, Calgary, AB (McKee, Kirkpatrick); the Canadian Forces Health Services (add city) (McKee); the Arapahoe County Sheriff’s Office, Denver, Colorado, USA (Knudsen); the Denver South Medic Fire Rescue, Denver, Colorado (Shelton); the Rocky Vista University, Rocky Vista, Colorado (LaPorta); the James Purdue University, West Lafayette, Indiana (Wachs); the Department of Surgery, University of Calgary, Calgary, AB (Kirkpatrick); and the Department of Critical Care Medicine, University of Calgary, Calgary, AB (Kirkpatrick).

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