Association of Acute Respiratory Distress Syndrome Radiographic Findings Identified by Machine Learning and Outcomes of Patients Receiving Invasive Mechanical Ventilation
- DOI
- 10.1097/ccm.0000000000007384
- Published
- 2026-10-23
- Container
- Critical Care Medicine
- Publisher
- Ovid Technologies (Wolters Kluwer Health)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1097/ccm.0000000000007384,
title = {Association of Acute Respiratory Distress Syndrome Radiographic Findings Identified by Machine Learning and Outcomes of Patients Receiving Invasive Mechanical Ventilation},
author = {Yingchao Zhong and Mark Nuppnau and Negar Farzaneh and Sardar Ansari and Michael W. Sjoding},
year = {2026},
journal = {Critical Care Medicine},
doi = {10.1097/ccm.0000000000007384},
url = {https://doi.org/10.1097/ccm.0000000000007384}
}RIS
TY - JOUR TI - Association of Acute Respiratory Distress Syndrome Radiographic Findings Identified by Machine Learning and Outcomes of Patients Receiving Invasive Mechanical Ventilation AU - Yingchao Zhong AU - Mark Nuppnau AU - Negar Farzaneh AU - Sardar Ansari AU - Michael W. Sjoding PY - 2026 JO - Critical Care Medicine DO - 10.1097/ccm.0000000000007384 UR - https://doi.org/10.1097/ccm.0000000000007384 ER -
APA
Zhong, Y., Nuppnau, M., Farzaneh, N., Ansari, S., & Sjoding, M. W. (2026). Association of Acute Respiratory Distress Syndrome Radiographic Findings Identified by Machine Learning and Outcomes of Patients Receiving Invasive Mechanical Ventilation. Critical Care Medicine. https://doi.org/10.1097/ccm.0000000000007384
Source records
- crossref · retrieved 2026-11-10T13:24:28.231Z