This webinar will explore the transformative potential of artificial intelligence (AI) in radiology to advance global health, with a focus on low- and middle-income countries (LMICs). We will discuss current AI applications, challenges of implementation in resource-limited settings, and strategies for building equitable, sustainable, and “glocal” models of AI adoption. The session will highlight how AI can improve diagnostic accuracy, streamline workflows, and support SDG and UHC goals in underserved populations.
Objectives
- Describe the benefits of radiology AI for advancing global health and equity
- Identify challenges and solutions for implementing AI in LMIC and resource-limited settings
- Explore strategies such as local workforce training, education resources, and glocal models of development
- Define criteria for selecting and deploying impactful AI projects in radiology for global health
CE Credit
SIIM 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.
Note: In order to receive credits for any events/learning you attend you must select your eligible credit types found in the CE & Certification section of your MySIIM Account profile.
To access the webinar, once you are registered navigate to My Learning in your My SIIM Account profile.
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Farouk Dako, MD, MPH
Ameena Elahi MSOD, MPA, RT®, CIIP
Judy Gichoya, MD, MS, FSIIM
Satvik Tripathi
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