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Explore the transformative potential of open-source foundation models in healthcare through this 38-minute conference talk from the Linux Foundation's Open Source Summit. Discover how the open-source community democratizes access to AI models and data while driving safe, reproducible, and equitable innovation in health applications. Learn from real-world experience in developing and releasing open-source resources including datasets, training pipelines, and evaluation frameworks that support advanced AI and multimodal learning in healthcare settings. Gain practical insights into rapid prototyping, benchmarking, and reproducible experimentation across vision-language and multimodal health tasks. Understand best practices for documentation, data quality assurance, and aligning model development with ethical and privacy principles essential for health AI applications. Whether you're interested in releasing models, curating datasets, or contributing to tooling, acquire valuable knowledge about governance, fairness, and privacy considerations that are crucial when working with foundation models in healthcare environments.
