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The Burn Medical Assistant: Developing Machine Learning Algorithms to Aid in the Estimation of Burn Wound Size

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Technical Report,01 Oct 2016,30 Sep 2017

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US Army Institute for Surgical Research Ft. Sam Houston -San Antonio

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We will test the hypothesis that a computer machine learning algorithm can analyze and classify burn injures using multispectral imaging within 5 of an expert clinician through a series of steps. First, we will develop a model to map images of burn wounds captured from a portable multispectral camera to a standard Lund-Browder burn wound diagram. We will then have burn wound experts estimate the burn wound size using an enhanced burn wound diagram. The mappings made by burn wound experts will then be compared to automated measurements. Finally, through the use of machine learning ML, we will build models from these multispectral images and expert burn wound mapping to create a predictive model of burn wound size and depth that will approximate an experts opinion to within 5.

Subject Categories:

  • Medicine and Medical Research
  • Human Factors Engineering and Man Machine Systems
  • Cybernetics

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