Acute compartment syndrome is a serious condition that requires urgent surgical treatment. While the current emergency treatment is straightforward - relieve intra-compartmental pressure via fasciotomy - the diagnosis is often a difficult one. A deep neural network is presented here that has been trained to detect whether isolated muscle bundles were exposed to hypoxic conditions and became ischemic.
|Original language||English (US)|
|Title of host publication||Frontiers in Biomedical Devices, BIOMED - 2020 Design of Medical Devices Conference, DMD 2020|
|Publisher||American Society of Mechanical Engineers (ASME)|
|State||Published - 2020|
|Event||2020 Design of Medical Devices Conference, DMD 2020 - Minneapolis, United States|
Duration: Apr 6 2020 → Apr 9 2020
|Name||Frontiers in Biomedical Devices, BIOMED - 2020 Design of Medical Devices Conference, DMD 2020|
|Conference||2020 Design of Medical Devices Conference, DMD 2020|
|Period||4/6/20 → 4/9/20|
Bibliographical notePublisher Copyright:
Copyright © 2020 ASME
Copyright 2020 Elsevier B.V., All rights reserved.
- Compartment syndrome
- Deep learning