“eKare Inc., a provider of digital wound management platform, announces partnership with Netherlands-based Woundworks. eKare Inc., developed the inSight 3D wound camera, which ensures a standardized and validated wound measurement in an easy to use application, and is used in post-acute and research institutions across the US.”
Wounds / Epub 2016-08-15
“The 3D-WM was found to be highly reliable for measuring wound areas for a range of wound sizes and types as compared to manual measurement and scaled photography. The depth and therefore volume measurement using the 3D-WM was found to have a lower ICC, but volume ICC alone was moderate. Overall this device offers an affordable mobile option for objective wound measurement in the clinical setting.”
Note: The study involves shallow diabetic foot ulcers with average depth of approx. 1mm and may not be appropriate to evaluate depth measurement. See “Discussion” on page 5.
International Wound Journal / Epub 2015-11-11
This study aims to determine the accuracy of a new 3-dimensional wound measurement (3DWM) device against laser-assisted wound measurement (LAWM) devices and traditional methods of wound measurement. … (D)ata demonstrate that the 3DWM device provides an accurate and reproducible method for measuring changes in wound healing similar to other available technologies. Further, the use of the 3DWM device provides a faster and more consistent measurement, which is critical for clinical application and use.
Computer Assisted Radiology and Surgery International Congress 2015: Podium Presentation / 2015-06-24
Ruler-based assessments can overestimate wound area by up to 44%. Tracing wounds using planimetry can give a better estimate of size but is time consuming and still highly variable between operators. Simple point-of-care solution that enables comprehensive 3D wound assessment on a mobile device would significantly improve the care and outcome. For this purpose we determine the feasibility of the current prototype and the implemented algorithms on phantom measurements with well know geometry in this research.
WOCN Annual Conference 2015: Podium Presentation / 2015-06-06
Using computer vision algorithms, we developed a mobile wound-assessment tool based on a tablet (iPad, Apple Inc.) with an attached structure sensor, which measures 3D wound dimensions at the point-of-care. The purpose of this study is to assess the performance of a point-of-care device that standardizes wound assessment.
American College of Surgeons Clinical Congress 2014: Podium Presentation / 2014-10-30
Chronic wounds affect 6.5 million patients in the US, incurring $25 billion healthcare expenditure annually. Despite the significant clinical burden, wound care is plagued by a general lack of objective evidence to guide management. The problem stems from deficiencies in wound assessment that still relies on crude visual observation. We introduce novel computer vision techniques that will pave way towards an accurate and consistent wound assessment solution.