Published on in Vol 7, No 4 (2019): Oct-Dec

A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study

A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study

A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study

Arne Peine   1, 2 , MD, MHBA ;   Ahmed Hallawa   1, 3 , MSc ;   Oliver Schöffski   4 , Prof Dr, MPH ;   Guido Dartmann   2, 5 , Prof Dr ;   Lejla Begic Fazlic   5 , PhD ;   Anke Schmeink   2, 6 , Prof Dr ;   Gernot Marx   1, 2 , Prof Dr, MD, FRCA ;   Lukas Martin   1, 2 , MD, MHBA

1 Department of Intensive Care Medicine and Intermediate Care, University Hospital Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany

2 Clinomic GmbH, Aachen, Germany

3 Chair for Integrated Signal Processing Systems, Rheinisch-Westfälische Technische Hochschule Aachen University, Aachen, Germany

4 Chair of Health Management, School of Business, Economics and Society, Friedrich-Alexander-University Erlangen-Nürnberg, Nürnberg, Germany

5 Research Area Distributed Systems, Trier University of Applied Sciences, Trier, Germany

6 Research Area Information Theory and Systematic Design of Communication Systems, Rheinisch-Westfälische Technische Hochschule Aachen University, Aachen, Germany

Corresponding Author:

  • Arne Peine, MD, MHBA
  • Department of Intensive Care Medicine and Intermediate Care
  • University Hospital Rheinisch-Westfälische Technische Hochschule Aachen
  • Pauwelsstr. 30
  • Aachen, 52074
  • Germany
  • Phone: 49 241-800
  • Email: apeine@ukaachen.de