AAPM VL-Advances in Data Science through MIDRC in the ARPA-H BDF: The Need for Curated, Diverse, Annotated and Scalable Imaging Data Commons to Enable Multi-Modal AI Research

2024 AAPM 66th Annual Meeting - Session: Advances in Data Science through MIDRC in the ARPA-H BDF: The Need for Curated, Diverse, Annotated and Scalable Imaging Data Commons to Enable Multi-Modal AI Research

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MIDRC Interoperability and Investigation of Potential Data Drift in Large Data Commons
Jordan Fuhrman, PhD, BS The University of Chicago

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	Importance of Data Harmonization for Cohort Building in AI Development - Michael McNitt-Gray, PhD David Geffen School of Medicine at UCLA
	Contributions from Industry and FDA in the Use of MIDRC to Enhance the Translation of AI Algorithms - Kyle Myers, PhD Puente Solutions LLC
	Q&A -

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2024 AAPM 66th Annual Meeting - Session: Advances in Data Science through MIDRC in the ARPA-H BDF: The Need for Curated, Diverse, Annotated and Scalable Imaging Data Commons to Enable Multi-Modal AI Research

This video is currently visible only to AAPM Members, Affiliates and Developing Country Educational Associates. Embargo periods are typically one year from the date the presentation was first published.