mlsanityData to 7 Oct 2026

Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning

arXiv 2005.11856 ↗First posted 24 May 2020eess.IV cs.LG q-bio.QMcited by 21

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Abstract (arXiv)

Purpose: The need to streamline patient management for COVID-19 has become more pressing than ever. Chest X-rays provide a non-invasive (potentially bedside) tool to monitor the progression of the disease. In this study, we present a severity score prediction model for COVID-19 pneumonia for frontal chest X-ray images. Such a tool can gauge severity of COVID-19 lung infections (and pneumonia in general) that can be used for escalation or de-escalation of care as well as monitoring treatment efficacy, especially in the ICU. Methods: Images from a public COVID-19 database were scored retrospectively by three blinded experts in terms of the extent of lung involvement as well as the degree of opacity. A neural network model that was pre-trained on large (non-COVID-19) chest X-ray datasets is used to construct features for COVID-19 images which are predictive for our task. Results: This study finds that training a regression model on a subset of the outputs from an this pre-trained chest X-ray model predicts our geographic extent score (range 0-8) with 1.14 mean absolute error (MAE) and our lung opacity score (range 0-6) with 0.78 MAE. Conclusions: These results indicate that our model's ability to gauge severity of COVID-19 lung infections could be used for escalation or de-escalation of care as well as monitoring treatment efficacy, especially in the intensive care unit (ICU). A proper clinical trial is needed to evaluate efficacy. To enable this we make our code, labels, and data available online at https://github.com/mlmed/torchxrayvision/tree/master/scripts/covid-severity and https://github.com/ieee8023/covid-chestxray-dataset

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 May 2020.

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Citing papers per year: 2021: 14; 2022: 3; 2023: 1; 2024: 1; 2025: 2.

21 papers.

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  1. 2021TorchXRayVision: A library of chest X-ray datasets and modelscited by 131
  2. 2021Deep Learning for Chest X-ray Analysis: A Surveycited by 84
  3. 2021Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantificationcited by 21
  4. 2021Improving Pneumonia Localization via Cross-Attention on Medical Images and Reportscited by 21
  5. 2022A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicroncited by 13
  6. 2024Multi-Dataset Multi-Task Learning for COVID-19 Prognosiscited by 11
  7. 2021COVID-19 Modeling: A Reviewcited by 7
  8. 2021COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Imagescited by 6
  9. 2021An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprisescited by 6
  10. 2021Event-based clinical findings extraction from radiology reports with pre-trained language modelcited by 3
  11. 2021Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformercited by 2
  12. 2021COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Imagescited by 1
9 more
  1. 2021COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architecturescited by 1
  2. 2021MobileCaps: A Lightweight Model for Screening and Severity Analysis of COVID-19 Chest X-Ray Imagescited by 1
  3. 2022Deterioration Prediction using Time-Series of Three Vital Signs and Current Clinical Features Amongst COVID-19 Patientscited by 1
  4. 2023Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Imagescited by 1
  5. 2025Lung Infection Severity Prediction Using Transformers with Conditional TransMix Augmentation and Cross-Attentioncited by 1
  6. 2021COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTscited by 0
  7. 2021A Data Augmented Approach to Transfer Learning for Covid-19 Detectioncited by 0
  8. 2022Pneumonia Detection in Chest X-Rays using Neural Networkscited by 0
  9. 2025Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architecturescited by 0