Dr. Caroline Chung, Chief Data & Analytics Officer and Co-Director of the Institute for Data Science in Oncology at MD Anderson Cancer Center will offer a broad perspective on how thoughtful, data‑driven approaches and tools including emerging AI innovations can be implemented responsibly and with meaningful impact for patients.
Abstract:
Artificial intelligence is rapidly emerging as a transformative force across research, clinical care, and health‑system operations in oncology. As cancer centers generate increasing volumes of complex data, the opportunities and challenges associated with integrating AI continue to grow. In this session, Dr. Caroline Chung will offer a broad perspective on how thoughtful, data‑driven approaches and tools including emerging AI innovations are implemented responsibly and with meaningful impact for patients. Drawing on insights from ongoing institutional efforts at MD Anderson, she will reflect on the importance of fit-for-purpose data, multidisciplinary collaboration, and intentional governance as cornerstones of effective AI enablement.
Free
Dr. Chung is Vice President, Chief Data & Analytics Officer, and Co-Director of the Institute for Data Science in Oncology at MD Anderson Cancer Center. She is a tenured professor in Radiation Oncology and Diagnostic Imaging with a clinical practice focused on CNS malignancies and a computational imaging lab focused on quantitative imaging and modeling to detect and characterize tumors and toxicities of treatment to enable personalized cancer treatment. Motivated by challenges observed in her own clinical and research pursuits, Dr. Chung has developed and leads institutional efforts to enable quantitative measurements for clinically impactful utilization and interpretation of data through a collaborative team science approach, including the Tumor Measurement Initiative (TMI) at MD Anderson. Internationally, Dr. Chung leads multidisciplinary efforts to drive high quality, quantitative data with data science for precision medicine research and clinical practice, including her role as Co-Chair of the Quantitative Imaging for Assessment of Response in Oncology Committee of the International Commission on Radiation Units and Measurements (ICRU) and co-president of the Quantitative Medical Imaging Coalition (QMIC) and co-chair of the American Society of Clinical Oncology (ASCO) AI Community of Practice. She served as a member of the National Academies of Sciences, Engineering, and Medicine (NASEM)-appointed committee addressing Foundational Research Gaps and Future Directions for Digital Twins. She is also chair of a non-profit organization focused on fostering leadership, mentorship and sponsorship to support the broad community and team needed to advance cancer treatment and care called Women in Cancer-All in Cancer.