Join us for an insightful discussion on how open-source medical imaging software is transforming healthcare here and abroad. This webinar will explore the sustainability of open-source projects, their deployment in low- and middle-income countries (LMICs), and the role of artificial intelligence in enhancing radiology workflows in resource-limited settings.
Topics
- Sustaining Open Source & Business Models – How open-source projects remain viable and how for-profit companies can thrive by contributing to and leveraging open-source technology.
- RAD-AID Experience Deploying Open Source in LMICs – Addressing the global imaging gap by implementing cost-effective, sustainable PACS solutions in regions where access to radiology is limited and film-based imaging is still common.
- AI for Radiology in LMICs – How artificial intelligence can augment diagnostic capabilities, improve healthcare delivery, and bridge gaps in medical expertise.
Objectives
- Understand Open-Source Sustainability Models – Learn how open-source medical imaging projects are maintained, funded, and supported, including pathways for for-profit companies to contribute while remaining financially viable.
- Explore Real-World Open-Source Deployments in LMICs – Gain insights from RAD-AID’s experience implementing open-source PACS solutions in low-resource settings, addressing challenges such as infrastructure limitations, training, and long-term sustainability.
- Recognize the Role of AI in Expanding Radiology Access – Discover how artificial intelligence can support diagnostic imaging in LMICs by enhancing clinical decision-making, improving efficiency, and compensating for shortages of trained radiologists.
- Identify Opportunities for Collaboration and Innovation – Understand how healthcare providers, developers, and researchers can contribute to and benefit from open-source medical imaging initiatives, fostering innovation and improving global healthcare equity.
Resources
CE Credit
The Society for Imaging Informatics in Medicine has approved this activity for 1.0 hours of SIIM IIP Credits towards certification and re-certification by the American Board of Imaging Informatics (ABII).
To receive credit, registrants must view the entire webinar and then complete the post-webinar survey. Webinar credits will only be awarded one time per webinar view, regardless of if the learner watches the content live or on-demand.
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Rob Lewis
Ameena Elah
Alan Schweitzer
Mohannad Hussain
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