Machine learning predicts lung recruitment in acute respiratory distress syndrome using single lung CT scan
Abstract Background To develop and validate classifier models that could be used to identify patients with a high percentage of potentially recruitable lung from readily available clinical data and from single CT scan quantitative analysis at intensive care unit admission. 221 retrospectively enroll...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-07-01
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Series: | Annals of Intensive Care |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13613-023-01154-5 |