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Artificial intelligence versus expert: a comparison of rapid visual inferior vena cava collapsibility assessment between POCUS experts and a deep learning algorithm
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 basic a...
Autores principales: | Blaivas, Michael, Adhikari, Srikar, Savitsky, Eric A., Blaivas, Laura N., Liu, Yiju T. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7593461/ https://www.ncbi.nlm.nih.gov/pubmed/33145532 http://dx.doi.org/10.1002/emp2.12206 |
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