Abstract
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) |
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Title of host publication | Frontiers in Biomedical Devices, BIOMED - 2020 Design of Medical Devices Conference, DMD 2020 |
Publisher | American Society of Mechanical Engineers (ASME) |
ISBN (Electronic) | 9780791883549 |
DOIs | |
State | Published - 2020 |
Event | 2020 Design of Medical Devices Conference, DMD 2020 - Minneapolis, United States Duration: Apr 6 2020 → Apr 9 2020 |
Publication series
Name | Frontiers in Biomedical Devices, BIOMED - 2020 Design of Medical Devices Conference, DMD 2020 |
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Conference
Conference | 2020 Design of Medical Devices Conference, DMD 2020 |
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Country/Territory | United States |
City | Minneapolis |
Period | 4/6/20 → 4/9/20 |
Bibliographical note
Publisher Copyright:Copyright © 2020 ASME
Keywords
- Compartment syndrome
- Deep learning
- Ischemia