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.
