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AI development within medical imaging requires access to vast amounts of complex data that is typically siloed, unorganized, and dispersed. This session from the SIIM 2024 Annual Meeting shares real-world insights on how Flywheel’s medical imaging and AI platform can help pharmaceutical, academic, and clinical researchers access, analyze, train, and securely share data for machine learning and imaging research. Hear from Flywheel, NVIDIA and Microsoft about the infrastructure and platforms required for faster data preparation, AI training, standardization and adoption. Learn how you can begin leveraging the vast potential of medical imaging data, save time and resources, and continue pushing the boundaries of innovation in healthcare. 00:00 - Challenges to Building Medical Imaging AI 11:37 - How to Access & Monitor Algorithms in Clinical Practice 28:19 - Where to Deploy in the Clinical Data Pipeline 30:45 - Digital Transformation - More than Digitizing Silos 32:55 - Multimodal Models Take a Mindset Shift 41:41 - Few-Shot Learning, Federated Validation, and the FDA 45:19 - Q&A: Provider-Led AI Adoption 49:17 - Q&A: Time to First Image is Now Time to First Inference