AIM-Harvard/CXR-Lung-Risk
Deep learning to estimate lung-related mortality from chest radiographs.
This project helps clinicians and researchers better understand long-term lung health. It uses a single chest X-ray image (radiograph) as input and outputs a numerical risk score that predicts lung-related mortality up to 18 years in the future. Medical professionals, especially those in pulmonology or oncology, can use this tool for improved risk stratification.
No commits in the last 6 months.
Use this if you are a clinician or researcher who needs to assess a patient's long-term lung-related mortality risk based solely on a chest X-ray.
Not ideal if you need a diagnostic tool for immediate clinical care or a commercial application, as this project is for research purposes only.
Stars
9
Forks
5
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 16, 2023
Commits (30d)
0
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