About the Division
Welcome to the Division of Medical Physics and Engineering, a branch within the Department of Radiation Oncology at UT Southwestern Medical Center.
Our Division is composed of more than 80 employees, including medical physics faculty, medical dosimetrists, engineers, programmers, IT personnel, administrative staff, medical physics residents, postdoctoral fellows, graduate students, and visiting scholars and students.
We are engaged in three primary areas of activity: clinical service and consultation, research and development, and education.
Our vision is to become one of the world’s leading academic medical physics programs in all three areas by working closely with clinicians and researchers in other relevant areas to solve important clinical problems through technological innovation.
Xiao Liang, Liyuan Chen, Dan Nguyen, Zhiguo Zhou, Xuejun Gu, Ming Yang, Jing Wang, and Steve Jiang—all part of our Department—were just awarded the Roberts’ Prize for best paper published in the journal of Physics in Medicine and Biology for 2019. Their paper is entitled “Generating synthesized computed tomography (CT) from cone-beam computed tomography (CBCT) using CycleGAN for adaptive radiation therapy.”
Artificial intelligence can help cancer patients start their radiation therapy sooner – and thereby decrease the odds of the cancer spreading – by instantly translating complex clinical data into an optimal plan of attack.
Carbon ion therapy is similarly precise, but because carbon ions are heavier, they deliver more cancer-killing power than protons do. Carbon centers have reported impressive survival rates, particularly for hard-to-treat bone and soft-tissue cancers such as spinal tumors.
Rayfield Byrd knows when it’s time to wake up every morning. The 68-year-old Oakland, Cal., resident hears a voice from the living room offering a cheery good morning. Except Byrd lives alone.
Imagine a future in which the wristband you're wearing can nudge your doctor by indicating you've been in the exam room for half an hour. Or where the clinic is wired for sensors that recognize you when you walk in the door, taking your temperature and blood pressure and recording your height and weight.Far from science fiction, these clinic scenarios are real artificial intelligence (AI) projects currently being developed at UT Southwestern's Medical Artificial Intelligence and Automation (MAIA) Laboratory.