Artificial Intelligence for the Detection of Pneumothorax on Chest Radiograph: Not yet the Panacea

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References

Homayounieh

Digumarthy

Febbo

, et al. Comparison of baseline, bone-subtracted, and enhanced chest radiographs for detection of pneumothorax. Can Assoc Radiol J. 2021;72(3):519-524.

Boeken

Feydy

Lecler

, et al. Artificial intelligence in diagnostic and interventional radiology: where are we now? Diagn Interv Imaging. 2023;104(1):1-5.

Bennani

Regnard

Ventre

, et al. Using AI to improve radiologist performance in detection of abnormalities on chest radiographs. Radiology. 2023;309(3):e230860.

Katzman

Alaboussi

Islam

Zha

Patlas

MN.

Deep learning for pneumothorax detection on chest radiograph: a diagnostic test accuracy systematic review and meta analysis. Can Assoc Radiol J. 2024. doi:10.1177/08465371231220885

Lind Plesner

Müller

Brejnebøl

, et al. Commercially available chest radiograph AI tools for detecting airspace disease, pneumothorax, and pleural effusion. Radiology. 2023;308(3):e231236.

Rowe

Soyer

Fishman

EK.

The future of radiology: what if artificial intelligence is really as good as predicted?

Diagn Interv Imaging. 2022;103(9):385-386.

Soyer

Fishman

Rowe

Patlas

Chassagnon

Does artificial intelligence surpass the radiologist?

Diagn Interv Imaging. 2022;103(10):445-447.