Artificial intelligence versus expert: a comparison of rapid visual inferior vena cava collapsibility assessment between POCUS experts and a deep learning algorithm
Abstract Objectives We sought to create a deep learning algorithm to determine the degree of inferior vena cava (IVC) collapsibility in critically ill patients to enable novice point‐of‐care ultrasound (POCUS) providers. Methods We used publicly available long short term memory (LSTM) deep learning...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-10-01
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| Series: | Journal of the American College of Emergency Physicians Open |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/emp2.12206 |