Probabilistically localize suspected foci of pneumonia on frontal chest radiographs.

Intended Use

Any PA/AP Chest Radiograph


Does not consider prior information for the same patient as part of a prior prior likelhood.

Information on training data

Trained on 22K and tested on 4K frontal radiographs from a public dataset. Two pneumonia models were trained: (a) without and (b) with thoracic cavity annotations.

Model performance metrics

Area under the ROC curve (AUC) for detection of pneumonia was 0.861 and improved to 0.906 with concurrent training with the thoracic cavity annotation.

Performance Curves



Pneumonia detection ROC curve on public dataset od 3985 frontal Chest Xrays.

See reference publication for more information.

Model History

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Model available on Arterys.


AiDA Lab at UC San Diego

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Brian Hurt

Brian Hurt

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