Enhancing Outpatient Wound Care: Applying AI to Optimize Treatment of Patients with Diabetic Foot Syndrome - The EPWUF-KI Project.

Journal: Studies in health technology and informatics
PMID:

Abstract

Diabetes mellitus (DM) is a significant public health issue in Germany, affecting 8 million individuals, with projections suggesting a substantial increase in the following years. Diabetic Foot Syndrome (DFS), leading to mobility issues and limb amputations, challenging healthcare due to resource shortages and the need for specialized care. The EPWUF-KI project seeks to support outpatient caregivers by incorporating artificial intelligence (AI) into DFS wound care, focusing on optimizing treatment and automating documentation.

Authors

  • Annika Weggen
    Hochschule Niederrhein, University of Applied Sciences, Faculty of Healthcare, Krefeld, Germany.
  • Dirk Hochlenert
    CID GmbH, Cologne, Germany.
  • Mira Mertens
    CID GmbH, Cologne, Germany.
  • Kevin Cremanns
    PI Probaligence GmbH, Augsburg, Germany.
  • Cosku Gündodgu
    PI Probaligence GmbH, Augsburg, Germany.
  • Lars Gierschner
    Hochschule Niederrhein, University of Applied Sciences, Faculty of Healthcare, Krefeld, Germany.
  • Timo Tromp
    Hochschule Niederrhein, University of Applied Sciences, Faculty of Healthcare, Krefeld, Germany.
  • Hubert Otten
    Hochschule Niederrhein, University of Applied Sciences, Faculty of Healthcare, Krefeld, Germany.