|Awarded On||August 17, 2022|
|Title||RadOnc-AI: An Artificial Intelligence Guided Dose-Prediction Platform for Radiation Oncology|
|Program||Product Development Research|
|Award Mechanism||Seed Awards for Product Development Research|
|Principal Investigator/Program Director||Jim Havelka|
|Cancer Sites||Head and Neck|
Radiation therapy is a critical part of combinatorial cancer care. The dose must be sufficient enough to kill the targeted tumor, but also minimal enough to ensure that the radiation does not cause collateral damage to nearby healthy tissues and organs. These treatments are very precise and individualized. Each person's unique medical history and needs factors in. For example, a patient who has both bladder cancer and failing kidneys will have a specific radiation plan to avoid further kidney damage. Cancer doctors (oncologists) have an extensive team that helps create these radiation plans, called directives, but estimating the dose is tedious, iterative, time-consuming and inaccurate. A do...