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](https://asset.jmir.pub/assets/4c5307440067ddc38252b4acf789f827.png 480w,https://asset.jmir.pub/assets/4c5307440067ddc38252b4acf789f827.png 960w,https://asset.jmir.pub/assets/4c5307440067ddc38252b4acf789f827.png 1920w,https://asset.jmir.pub/assets/4c5307440067ddc38252b4acf789f827.png 2500w)
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