AI in Cancer: Bridging Context from Design to Delivery
Join MD Anderson Cancer Center’s Dr. Caroline Chung, as she discusses how artificial intelligence (AI) can revolutionize healthcare.
This session will delve into the multifaceted process of integrating AI into healthcare, emphasizing the critical role of context at every stage. You will be equipped with insights and strategies for successful AI development and implementation that is context-aware and patient-centric. Dr. Chung will talk about bridging the gap between technical innovation and clinical feasibility and utility. Namely, she will discuss:
- understanding the nuances of data collection.
- preprocessing.
- algorithm design.
- regulatory compliance, quality, and safety.
- infrastructural constraints.
The CBIIT Data Science Seminar Series is dedicating its 2025 events to spotlighting the use of AI in cancer research and care. Brought to you by CBIIT and NCI’s Division of Treatment and Diagnosis AI working group, the upcoming webinars will explore a variety of questions, such as the following:
- How can we use AI for diagnosis, treatment, drug development, and omics research?
- What are the related laws and ethical considerations for AI?
- How can we empower an AI-ready cancer research community through workforce development, collaborations, and funding?
To view upcoming speakers or recordings of past presentations, visit the CBIIT Data Science Seminar Series webpage.
At The University of Texas MD Anderson Cancer Center, Dr. Chung serves as vice president, chief data analytics officer, and co-director of data science development and implementation within the Institute for Data Science in Oncology and Data Ecosystems. She also serves as a professor in the division of radiation oncology. She has developed institutional efforts to enable quantitative measurements for clinically impactful utilization and interpretation of data.