Unity Imaging Collaborative

Open-access datasets, models, and code for the development and validation of AI in cardiology


Additional data

Views

This data links image filenames in the Unity Imaging dataset to their echocardiographic views. View metadata 2022-07-05


Physical Units

This data links image filenames in the Unity Imaging dataset to the scale (PhysicalUnits in DICOM).  Physical Units metadata 2022-07-05


License

The model weights, labels, metadata, and images are available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license
The code is available under the MIT license.


Funding, support, and approvals

We are grateful to the following institutions for funding and support

  • National Institute of Health Research (NIHR), who support the Clincial Lecturerships of Dr. Matthew Shun-Shin and Dr. James Howard at Imperial College.
  • NIHR Imperial Biomedial Research Centre (NIHR Imperial BRC) for providing start-up funding to collect pilot data to enable project / programme grant applications.

This research and open-access release of the has been conducted under:

  • The Imperial AI Echocardiography Dataset [IRAS: 279328, REC:20/SC/0386]

Contact details

Any questions Dr. Matthew Shun-Shin