Registration opens in May TAPIA 2020 Dallas,TX September 16-19, 2020

2020 Tapia Conference

Artificial Intelligence & Computing in Cancer Imaging

Thursday, September 19, 2019 — 11:10AM-12:10PM

Recent advances in artificial intelligence and data science are increasing the role of computation in the diagnosis and treatment of cancer. For general patient populations, data science is being used to identify which treatment courses are best for specific patients. Mathematical models derived from this type of data analysis are important and being used to guide clinical trials. In radiation oncology, computation is instrumental in the development and optimization of radiation treatment plans. The planning process is heavily dependent on imaging and artificial intelligence is being employed to automatically delineate critical organs, such as lungs, heart, and spinal cord, as well as the tumor. Three areas of cancer imaging and computing will be discussed. First, a basic overview of cancer and its treatment will be presented, with a focus on radiation oncology for thoracic malignancies and its reliance on both imaging and computational methods. Next, the computational aspects of the imaging needed for cancer treatment, as well as how artificial intelligence and machine learning are advancing medical image analysis, will be discussed. Finally, we will present the methods and computing requirements needed to develop automated machine learning algorithms for predicting patient-specific treatment responses for liver cancer, and how these models can be used to inform clinicians about which treatments will be the most effective for individual patients. Throughout the discussion, we will highlight both clinical and research career opportunities for computational scientists interested in cancer therapy or medical image analysis.

Panel Moderator:
Eric Ramirez, IT Project Manager, University of Texas MD Anderson Cancer Center

Edward Castillo, Research Scientist, Beaumont Health Research Institute
Richard Castillo, Assistant Professor, Department of Radiation Oncology, Emory University
David Fuentes, Assistant Professor, University of Texas, MD Anderson Cancer Center