Accelerating Wound Depth Measurement Through An Accessible AI- Powered Wound Care Solution

October 2, 2024|Published Research

Accelerating Wound Depth Measurement Through An Accessible AI- Powered Wound Care Solution

This poster was featured at SAWC Fall 2024 in Las Vegas, Nevada.  

Authors: Azeem Lakdawalla, Heba Tallah Mohammed, Justin Allport, Rob D. J. Fraser

Introduction: Measuring wound dimensions through traditional methods can be time-consuming and prone to human error. Integrating artificial intelligence (AI) into Digital Wound Care Solution (DWCS) provides a model for practice improvement optimizing management plans and care delivery and making the assessment process faster and more accurate.

Objective: The study aimed to improve the performance of AI-powered wound depth measurement on a range of older smartphones and tablets, which are commonly used by healthcare organizations.​ Algorithm performance was tested on data from 2,050 wound evaluations of different types.​

Results:  

  • Depth measurement runtimes improved across iOS and Android devices​.
  • Depth assessment times improvement tested on a commonly used Android Tablet (Samsung A7, 2015) was 5.75 times faster​.
  • Testing on a commonly used older model of iOS device (iPhone XR) was improved by 1.48 times​.

To learn more about the research conducted for this poster, or to speak with the Swift Medical team about digital wound care, contact us

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