Diagnostic accuracy of machine-learning models for detecting pulmonary embolism in patients with pneumonia: a systematic review and meta-analysis
- DOI
- 10.1186/s12890-026-04583-7
- Published
- 2026-08-11
- Container
- BMC Pulmonary Medicine
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12890-026-04583-7,
title = {Diagnostic accuracy of machine-learning models for detecting pulmonary embolism in patients with pneumonia: a systematic review and meta-analysis},
author = {Pooya Eini and Peyman Eini and Homa Serpoush and Mohammad Rezayee and Jason Tremblay},
year = {2026},
journal = {BMC Pulmonary Medicine},
doi = {10.1186/s12890-026-04583-7},
url = {https://doi.org/10.1186/s12890-026-04583-7}
}RIS
TY - JOUR TI - Diagnostic accuracy of machine-learning models for detecting pulmonary embolism in patients with pneumonia: a systematic review and meta-analysis AU - Pooya Eini AU - Peyman Eini AU - Homa Serpoush AU - Mohammad Rezayee AU - Jason Tremblay PY - 2026 JO - BMC Pulmonary Medicine DO - 10.1186/s12890-026-04583-7 UR - https://doi.org/10.1186/s12890-026-04583-7 ER -
APA
Eini, P., Eini, P., Serpoush, H., Rezayee, M., & Tremblay, J. (2026). Diagnostic accuracy of machine-learning models for detecting pulmonary embolism in patients with pneumonia: a systematic review and meta-analysis. BMC Pulmonary Medicine. https://doi.org/10.1186/s12890-026-04583-7
Source records
- crossref · retrieved 2026-11-07T12:32:20.568Z