Predicting Respiratory Disease Mortality Risk Using Open-Source AI on Chest Radiographs in an Asian Health Screening Population

2025/04/02 by Jong Hyuk Lee, Seung Ho Choi, Hugo J.W.L. Aerts +7 · 1 voice · 1 citation
Medicine · #COVID-19 diagnosis using AI #Radiomics and Machine Learning in Medical Imaging #Lung Cancer Diagnosis and Treatment

paper · doi:10.1148/ryai.240628

openalex publication_date 2025/04/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The open-source artificial intelligence CXR-Lung-Risk model predicted respiratory disease mortality in an Asian cohort using baseline and follow-up chest radiographs, facilitating a two-layer risk stratification approach through longitudinal analysis.

Citations

• A Prediction Rule to Identify Low-Risk Patients with Community-Acquired Pneumonia

Cited by

• Predicting Mortality with Deep Learning: Are Metrics Alone Enough?

Discussions

• #AI model estimates respiratory disease mortality in an Asian health screening population https://doi.org/10.1148/ryai.240628 #ChestRad #DeepLearning #OpenSource [bsky, 5 points, 0 comments]

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