Prediction of ipsilateral and contralateral pneumothorax using a simple chest X-ray

The results of this study suggest that machine learning algorithms using simple X-rays and basic clinical data can predict SP development with fair performance. The apical regions of the lung were strongly associated with SP development, consistent with clinical knowledge.

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Publication Details

Journal
Journal of Thoracic Disease
Published
2025-02-01
DOI
https://doi.org/10.21037/jtd-24-1729
Primary Topic
Ultrasound in Clinical Applications
Type
article
Field-Weighted Citation Impact
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article

Prediction of ipsilateral and contralateral pneumothorax using a simple chest X-ray

Yoon Ho Kim, Kyong Shil Im, Kwanyong Hyun, Jeong Hwan Ryu et al.
Journal of Thoracic Disease
Ultrasound in Clinical Applications
article

Prediction of ipsilateral and contralateral pneumothorax using a simple chest X-ray

Yoon Ho Kim, Kyong Shil Im, Kwanyong Hyun, Jeong Hwan Ryu, Jae Jun Kim
article en

Abstract

The results of this study suggest that machine learning algorithms using simple X-rays and basic clinical data can predict SP development with fair performance. The apical regions of the lung were strongly associated with SP development, consistent with clinical knowledge.

Journal of Thoracic DiseaseVol. 17(2)
The Catholic University of Korea Uijeongbu St. Mary's Hospital (KR), Catholic University of Korea (KR)
Gender equality
Openalex Percentile: Top 95%
Ultrasound in Clinical Applications
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