MIDRC XAI Grand Challenge Review: Decoding AI decisions for pneumonia on chest radiographs

Held on the third Tuesday of the month, this Seminar Series is an opportunity for members of the medical community at-large to hear directly from the Medical Imaging and Data Resource Center's team on new and noteworthy advances!
The MIDRC XAI Challenge pushed the boundaries of AI explainability, focusing on diagnosing pneumonia with chest radiographs. Participants competed to design interpretable AI models, with $50,000 in prizes awarded to the top seven solutions. Supported by expert radiologist annotations, this challenge is a leap forward in connecting AI innovation with clinical insights for improved medical imaging outcomes.
This webinar will feature live presentations and demonstrations by the top three winners:
🥇 Ian Pan, MD (Brigham and Women’s Hospital)
🥈 Mathieu Goulet, PhD (Centre régional intégré de cancérologie & CISSS de Chaudière-Appalaches)
🥉 Yijie Yuan (Johns Hopkins University)
For more information or to watch past recordings, visit our website: www.midrc.org/...
Should you have any questions or wish to discuss facilitating a data contribution from your institution in support of MIDRC's mission, please contact us here: www.midrc.org/... or here: www.midrc.org/...
If you have technical questions regarding data and/or annotations available in the MIDRC data portal, please contact [e-mail]
Our growing data portal is live and can be accessed here: data.midrc.org/
Thank you again for your interest in and support of MIDRC!