Chronic Wound Assessment Solution with Secure Communication and Explainability as Key Enablers
Authors/Creators
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1.
Fraunhofer Institute for Open Communication Systems
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2.
Charité - Universitätsmedizin Berlin
Description
In the context of chronic wounds, that require constant monitoring, the close collaboration between the nursing
and the technical teams is a driver for improvement. Leveraging AI and visual computing technologies when
assessing the wounds can lead to higher accuracy, at the same time the results have to be validated by nurses in
order to ensure a high quality data storage and processing results. Explainability is thus essential for gaining
the trust of the nurses to use the new technology as well as ensure a high technology adoption. In this paper,
the turning points and results in the design, implementation and evaluation of a solution for chronic wound
assessment using 3D scans and 3D wound model analysis are presented, having the security of data exchange
as well as the AI explainability as key enablers.
Files
ChronicWound Assessment Solution - Key Enablers.pdf
Files
(2.8 MB)
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