This paper is in the following e-collection/theme issue:

Applications of AI (246) Artificial Intelligence (1996) Pressure Ulcers and Decubitus Wounds (28) Dermatology (65) Machine Learning from Digital Images in Dermatology (16) Imaging Informatics (283)

Published on in Vol 4 (2025)

This is a member publication of University of Duisburg-Essen

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67356, first published .
Fine-Grained Classification of Pressure Ulcers and Incontinence-Associated Dermatitis Using Multimodal Deep Learning: Algorithm Development and Validation Study

Fine-Grained Classification of Pressure Ulcers and Incontinence-Associated Dermatitis Using Multimodal Deep Learning: Algorithm Development and Validation Study

Fine-Grained Classification of Pressure Ulcers and Incontinence-Associated Dermatitis Using Multimodal Deep Learning: Algorithm Development and Validation Study

Authors of this article:

Alexander Brehmer1 Author Orcid Image ;   Constantin Seibold1 Author Orcid Image ;   Jan Egger1, 2, 3 Author Orcid Image ;   Khalid Majjouti4 Author Orcid Image ;   Michaela Tapp-Herrenbrück4 Author Orcid Image ;   Hannah Pinnekamp5 Author Orcid Image ;   Vanessa Priester5 Author Orcid Image ;   Michael Aleithe6 Author Orcid Image ;   Uli Fischer5 Author Orcid Image ;   Bernadette Hosters4 Author Orcid Image ;   Jens Kleesiek1, 3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Alexander Brehmer   1 , MSc ;   Constantin Seibold   1 , PhD ;   Jan Egger   1, 2, 3 , Prof Dr ;   Khalid Majjouti   4 , MSc ;   Michaela Tapp-Herrenbrück   4 , BSc ;   Hannah Pinnekamp   5 , MSc ;   Vanessa Priester   5 , MA ;   Michael Aleithe   6 , PhD ;   Uli Fischer   5 , Prof Dr ;   Bernadette Hosters   4 , MSc ;   Jens Kleesiek   1, 3 , Prof Dr, Prof Dr med

1 Institute for Artificial Intelligence in Medicine, Essen University Hospital, Essen, Germany

2 Center for Virtual and Extended Reality in Medicine, University Medicine Essen, Essen, Germany

3 Faculty of Computer Science, University of Duisburg-Essen, Essen, Germany

4 Department of Nursing Development and Nursing Research, University Hospital Essen, Essen, Germany

5 Department of Clinical Nursing Research and Quality Management, Hospital of the Ludwig Maximilian University, Munich, Germany

6 Sciendis GmbH, Leipzig, Germany

Corresponding Author: