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EDU 50 - Interpretability and Uncertainty Quantification: A Way toward Trustworthy AI in Radiation Oncology
Finding Clarity in the "Black-Box" of AI and Integration into Clinical Care
Tuesday, October 1, 2024
4:32 PM – 4:47 PM
ET
Location: Room 147
Speaker(s)
Manisha Palta, MD
Duke Cancer Institute
Durham, NC, United States
Learning Objectives:
Describe the main ideas of interpretable AI models and their potential clinical impact.
Describe the available methods to quantify uncertainties of AI models and approaches for clinical implementation.
Discuss the future roadmap for achieving trustworthy AI in radiation oncology.