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...

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Detalles Bibliográficos
Autores principales: Blaivas, Michael, Adhikari, Srikar, Savitsky, Eric A., Blaivas, Laura N., Liu, Yiju T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Imaging
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

Internet

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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