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Ai in Oncology with Dr Caroline Chung from AMCAIM Scientific Session 2025
Recorded September 19, 2025.
Today’s speaker from our inaugural Scientific Session of The American College of Ai and Medicine is Dr. Caroline Chung, a leader at the forefront of data science and oncology. She serves as Vice President, Chief Data & Analytics Officer, and Co-Director of the Institute for Data Science in Oncology at MD Anderson Cancer Center. A tenured professor in both Radiation Oncology and Diagnostic Imaging, Dr. Chung combines her clinical expertise in central nervous system cancers with pioneering research in computational imaging.
Her work focuses on using advanced quantitative imaging and modeling to better detect and characterize tumors and treatment effects—laying the foundation for more personalized, data-driven cancer care. She leads major institutional efforts like the Tumor Measurement Initiative, aimed at transforming how clinical data is measured, interpreted, and applied through collaborative team science.
On the global stage, Dr. Chung plays a key role in shaping standards for quantitative imaging and AI in medicine. She co-chairs several influential committees and coalitions, including groups within the International Commission on Radiation Units and Measurements, the Quantitative Medical Imaging Coalition, and the American Society of Clinical Oncology’s AI Community of Practice. She’s also contributed to national strategy through her service on National Academies and NIH advisory committees focused on digital twins and artificial intelligence.
www.AmericanCollegeAIM.org
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By Melvin SpeismanRecorded September 19, 2025.
Today’s speaker from our inaugural Scientific Session of The American College of Ai and Medicine is Dr. Caroline Chung, a leader at the forefront of data science and oncology. She serves as Vice President, Chief Data & Analytics Officer, and Co-Director of the Institute for Data Science in Oncology at MD Anderson Cancer Center. A tenured professor in both Radiation Oncology and Diagnostic Imaging, Dr. Chung combines her clinical expertise in central nervous system cancers with pioneering research in computational imaging.
Her work focuses on using advanced quantitative imaging and modeling to better detect and characterize tumors and treatment effects—laying the foundation for more personalized, data-driven cancer care. She leads major institutional efforts like the Tumor Measurement Initiative, aimed at transforming how clinical data is measured, interpreted, and applied through collaborative team science.
On the global stage, Dr. Chung plays a key role in shaping standards for quantitative imaging and AI in medicine. She co-chairs several influential committees and coalitions, including groups within the International Commission on Radiation Units and Measurements, the Quantitative Medical Imaging Coalition, and the American Society of Clinical Oncology’s AI Community of Practice. She’s also contributed to national strategy through her service on National Academies and NIH advisory committees focused on digital twins and artificial intelligence.
www.AmericanCollegeAIM.org