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COVID-19 + Imaging AI Resources

The following is a list of COVID-19-related imaging data and AI resources that was compiled together with colleagues around the world. Our goal is to support research and education efforts that are critical to better understanding and quickly diagnosing COVID-19.  We invite you to contribute useful resources by clicking on the button below. Please note that inclusion in this list does not mean the resource is endorsed by Stanford AIMI. 


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Repository of crowd-sourced CT Scans of COVID-19 patients
COVID-19 database of Italian radiological cases
Call for collaboration for development of AI support for COVID-19 Diagnosis
COVID-Net: A CNN for COVID-19 detection via CXR and COVIDx: CXR Dataset
Publicly available COVID-19 Datasets
A public open dataset of chest X-ray and CT images of patients which are positive or suspected of COVID-19 or other viral and bacterial pneumonias 

BIMCV-COVID19+ dataset is a large dataset with chest X-ray images CXR (CR, DX) and computed tomography (CT) imaging of COVID-19 patients

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Trained on data and CT scans from more than 5,000 confirmed cases
Lung CT model that Includes detection of ground glass nodules
Trained on 5,000 confired cases; deployed at 34 hospitals in China
2D and 3D deep-learning models for thoracic CT studies; quantifies and tracks disease burden
Lung CT model that Includes detection of ground glass nodules
Model to predict COVID-19 vs. typical viral pneumonia ahead of the pathogenic test

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HIPAA-compliant real-time messaging platform for physicians. Access is restricted only to practicing medical doctors.

CovidWatcher is a research tool built by Columbia University and powered by people around the United States

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IRB approved research study that has been set up to collect symptoms and outcomes from 100,000 people over the next few weeks and generate data to help beat the coronavirus (COVID-19) pandemic.

5-10 minute survey to help us track the impact of the virus and understand the actions individuals and households are taking in response to the epidemic.

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Google committed $20M in GCP credits to support COVID-19 academic research. Google is accepting proposals. Their engineers and solutions architects can help with solution architecture design and GCP resource optimization. 

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Resource tracking COVID-19 papers, research and publications.  Updated frequently!
Resource tracking COVID-19 papers on radiology of COVID-19 with numbers.  Updated frequently!
Article on the importance of AI in COVID-19

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Blog post by Dr. Luke Oakden-Rayner on why with or without AI, CT is not ideal for screening and diagnosis of COVID-19
Blog post by Dr. Vasanth Venugopal, MD and Vidur Mahajan, MBBS, MBA on AI for COVID-19 Diagnosis using CT

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COVID-19 presentation and webinar links
Access vital resources for radiologists to support radiology department prepardenss, early detection, prompt treatment and effective public health containment of COVID-19.
Europe seeks to harness power of AI in COVID-19 crisis
A multicenter European project to enhance CT in the diagnosis of COVID-19 by using AI.  

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